{ "cells": [ { "cell_type": "markdown", "id": "723c394d-987d-4f2d-8bd6-378a23b1218e", "metadata": { "tags": [] }, "source": [ "# 4. Train ConvNN Model: Regression Method\n", "\n", "\n", "In the following steps, you will:\n", "\n", "- Load the brown dwarf dataset used to train the ML models.\n", "- Prepare the X and y variables to deploy the trained ML models.\n", "- Visualize them for a few cases.\n", "\n", "We will need the following modules from `TelescopeML`:\n", "\n", "- **DeepBuilder**: to prepare the synthetic brown dwarf dataset and load the trained machine learning (ML) models.\n", "- **Predictor**: to prepare the observational brown dwarf dataset and deploy the trained ML models.\n", "- **StatVisAnalyzer**: to provide statistical tests and plotting functions.\n", "- **IO_utils**: to provide functions to load the trained ML models.\n", "\n" ] }, { "cell_type": "code", "execution_count": 1, "id": "6a0e9b08-df67-4377-9ad7-61865ed8f859", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "No Bottleneck unit testing available.\n" ] }, { "data": { "text/html": [ "\n", "
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\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"

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\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1001\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\": \"XypntL49z55iwGVUW4qsEu83zKL3XEcz0MjuGOQ9SlaaQ68X/g+k1FcioZi7oQAc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\": \"bEsM86IHGDTLCS0Zod8a8WM6Y4+lafAL/eSiyQcuPzinmWNgNO2/olUF0Z2Dkn5i\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\": \"TX0gSQTdXTTeScqxj6PVQxTiRW8DOoGVwinyi1D3kxv7wuxQ02XkOxv0xwiypcAH\"};\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " Loading BokehJS ...\n", "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " var JS_MIME_TYPE = 'application/javascript';\n", " var HTML_MIME_TYPE = 'text/html';\n", " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", " var CLASS_NAME = 'output_bokeh rendered_html';\n", "\n", " /**\n", " * Render data to the DOM node\n", " */\n", " function render(props, node) {\n", " var script = document.createElement(\"script\");\n", " node.appendChild(script);\n", " }\n", "\n", " /**\n", " * Handle when an output is cleared or removed\n", " */\n", " function handleClearOutput(event, handle) {\n", " var cell = handle.cell;\n", "\n", " var id = cell.output_area._bokeh_element_id;\n", " var server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", "\n", " if (server_id !== undefined) {\n", " // Clean up Bokeh references\n", " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", " cell.notebook.kernel.execute(cmd, {\n", " iopub: {\n", " output: function(msg) {\n", " var id = msg.content.text.trim();\n", " if (id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", " }\n", " }\n", " });\n", " // Destroy server and session\n", " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", " cell.notebook.kernel.execute(cmd);\n", " }\n", " }\n", "\n", " /**\n", " * Handle when a new output is added\n", " */\n", " function handleAddOutput(event, handle) {\n", " var output_area = handle.output_area;\n", " var output = handle.output;\n", "\n", " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", " return\n", " }\n", "\n", " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", " // store reference to embed id on output_area\n", " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", " var bk_div = document.createElement(\"div\");\n", " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", " var script_attrs = bk_div.children[0].attributes;\n", " for (var i = 0; i < script_attrs.length; i++) {\n", " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", " }\n", " // store reference to server id on output_area\n", " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", " }\n", " }\n", "\n", " function register_renderer(events, OutputArea) {\n", "\n", " function append_mime(data, metadata, element) {\n", " // create a DOM node to render to\n", " var toinsert = this.create_output_subarea(\n", " metadata,\n", " CLASS_NAME,\n", " EXEC_MIME_TYPE\n", " );\n", " this.keyboard_manager.register_events(toinsert);\n", " // Render to node\n", " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", " }\n", "\n", " /* Handle when an output is cleared or removed */\n", " events.on('clear_output.CodeCell', handleClearOutput);\n", " events.on('delete.Cell', handleClearOutput);\n", "\n", " /* Handle when a new output is added */\n", " events.on('output_added.OutputArea', handleAddOutput);\n", "\n", " /**\n", " * Register the mime type and append_mime function with output_area\n", " */\n", " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", " /* Is output safe? */\n", " safe: true,\n", " /* Index of renderer in `output_area.display_order` */\n", " index: 0\n", " });\n", " }\n", "\n", " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", " if (root.Jupyter !== undefined) {\n", " var events = require('base/js/events');\n", " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", "\n", " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", " register_renderer(events, OutputArea);\n", " }\n", " }\n", "\n", " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " var NB_LOAD_WARNING = {'data': {'text/html':\n", " \"
\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"

\\n\"+\n", " \"\\n\"+\n", " \"\\n\"+\n", " \"from bokeh.resources import INLINE\\n\"+\n", " \"output_notebook(resources=INLINE)\\n\"+\n", " \"\\n\"+\n", " \"
\"}};\n", "\n", " function display_loaded() {\n", " var el = document.getElementById(\"1003\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", " if (root.Bokeh !== undefined) {\n", " if (el != null) {\n", " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", " }\n", " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(display_loaded, 100)\n", " }\n", " }\n", "\n", "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", " if (callback != null)\n", " callback();\n", " });\n", " } finally {\n", " delete root._bokeh_onload_callbacks\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", " function load_libs(css_urls, js_urls, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", " if (root._bokeh_is_loading > 0) {\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", " }\n", " if (js_urls == null || js_urls.length === 0) {\n", " run_callbacks();\n", " return null;\n", " }\n", " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", " run_callbacks()\n", " }\n", " }\n", "\n", " function on_error(url) {\n", " console.error(\"failed to load \" + url);\n", " }\n", "\n", " for (let i = 0; i < css_urls.length; i++) {\n", " const url = css_urls[i];\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error.bind(null, url);\n", " element.rel = \"stylesheet\";\n", " element.type = \"text/css\";\n", " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", " }\n", "\n", " const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\": \"XypntL49z55iwGVUW4qsEu83zKL3XEcz0MjuGOQ9SlaaQ68X/g+k1FcioZi7oQAc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\": \"bEsM86IHGDTLCS0Zod8a8WM6Y4+lafAL/eSiyQcuPzinmWNgNO2/olUF0Z2Dkn5i\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\": \"TX0gSQTdXTTeScqxj6PVQxTiRW8DOoGVwinyi1D3kxv7wuxQ02XkOxv0xwiypcAH\"};\n", "\n", " for (let i = 0; i < js_urls.length; i++) {\n", " const url = js_urls[i];\n", " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error.bind(null, url);\n", " element.async = false;\n", " element.src = url;\n", " if (url in hashes) {\n", " element.crossOrigin = \"anonymous\";\n", " element.integrity = \"sha384-\" + hashes[url];\n", " }\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " };\n", "\n", " function inject_raw_css(css) {\n", " const element = document.createElement(\"style\");\n", " element.appendChild(document.createTextNode(css));\n", " document.body.appendChild(element);\n", " }\n", "\n", " \n", " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\"];\n", " var css_urls = [];\n", " \n", "\n", " var inline_js = [\n", " function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", " function(Bokeh) {\n", " \n", " \n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", " \n", " if (root.Bokeh !== undefined || force === true) {\n", " \n", " for (var i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", " if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " } else if (force !== true) {\n", " var cell = $(document.getElementById(\"1003\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", " run_inline_js();\n", " } else {\n", " load_libs(css_urls, js_urls, function() {\n", " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", " run_inline_js();\n", " });\n", " }\n", "}(window));" ], "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1003\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\": \"XypntL49z55iwGVUW4qsEu83zKL3XEcz0MjuGOQ9SlaaQ68X/g+k1FcioZi7oQAc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\": \"bEsM86IHGDTLCS0Zod8a8WM6Y4+lafAL/eSiyQcuPzinmWNgNO2/olUF0Z2Dkn5i\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\": \"TX0gSQTdXTTeScqxj6PVQxTiRW8DOoGVwinyi1D3kxv7wuxQ02XkOxv0xwiypcAH\"};\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"1003\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", " \n", " Loading BokehJS ...\n", "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": [ "\n", "(function(root) {\n", " function now() {\n", " return new Date();\n", " }\n", "\n", " var force = true;\n", "\n", " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", " root._bokeh_onload_callbacks = [];\n", " root._bokeh_is_loading = undefined;\n", " }\n", "\n", " var JS_MIME_TYPE = 'application/javascript';\n", " var HTML_MIME_TYPE = 'text/html';\n", " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", " var CLASS_NAME = 'output_bokeh rendered_html';\n", "\n", " /**\n", " * Render data to the DOM node\n", " */\n", " function render(props, node) {\n", " var script = document.createElement(\"script\");\n", " node.appendChild(script);\n", " }\n", "\n", " /**\n", " * Handle when an output is cleared or removed\n", " */\n", " function handleClearOutput(event, handle) {\n", " var cell = handle.cell;\n", "\n", " var id = cell.output_area._bokeh_element_id;\n", " var server_id = cell.output_area._bokeh_server_id;\n", " // Clean up Bokeh references\n", " if (id != null && id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", "\n", " if (server_id !== undefined) {\n", " // Clean up Bokeh references\n", " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", " cell.notebook.kernel.execute(cmd, {\n", " iopub: {\n", " output: function(msg) {\n", " var id = msg.content.text.trim();\n", " if (id in Bokeh.index) {\n", " Bokeh.index[id].model.document.clear();\n", " delete Bokeh.index[id];\n", " }\n", " }\n", " }\n", " });\n", " // Destroy server and session\n", " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", " cell.notebook.kernel.execute(cmd);\n", " }\n", " }\n", "\n", " /**\n", " * Handle when a new output is added\n", " */\n", " function handleAddOutput(event, handle) {\n", " var output_area = handle.output_area;\n", " var output = handle.output;\n", "\n", " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", " if ((output.output_type != \"display_data\") || (!Object.prototype.hasOwnProperty.call(output.data, EXEC_MIME_TYPE))) {\n", " return\n", " }\n", "\n", " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", "\n", " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", " // store reference to embed id on output_area\n", " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", " }\n", " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", " var bk_div = document.createElement(\"div\");\n", " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", " var script_attrs = bk_div.children[0].attributes;\n", " for (var i = 0; i < script_attrs.length; i++) {\n", " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", " }\n", " // store reference to server id on output_area\n", " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", " }\n", " }\n", "\n", " function register_renderer(events, OutputArea) {\n", "\n", " function append_mime(data, metadata, element) {\n", " // create a DOM node to render to\n", " var toinsert = this.create_output_subarea(\n", " metadata,\n", " CLASS_NAME,\n", " EXEC_MIME_TYPE\n", " );\n", " this.keyboard_manager.register_events(toinsert);\n", " // Render to node\n", " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", " render(props, toinsert[toinsert.length - 1]);\n", " element.append(toinsert);\n", " return toinsert\n", " }\n", "\n", " /* Handle when an output is cleared or removed */\n", " events.on('clear_output.CodeCell', handleClearOutput);\n", " events.on('delete.Cell', handleClearOutput);\n", "\n", " /* Handle when a new output is added */\n", " events.on('output_added.OutputArea', handleAddOutput);\n", "\n", " /**\n", " * Register the mime type and append_mime function with output_area\n", " */\n", " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", " /* Is output safe? */\n", " safe: true,\n", " /* Index of renderer in `output_area.display_order` */\n", " index: 0\n", " });\n", " }\n", "\n", " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", " if (root.Jupyter !== undefined) {\n", " var events = require('base/js/events');\n", " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", "\n", " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", " register_renderer(events, OutputArea);\n", " }\n", " }\n", "\n", " \n", " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", " root._bokeh_timeout = Date.now() + 5000;\n", " root._bokeh_failed_load = false;\n", " }\n", "\n", " var NB_LOAD_WARNING = {'data': {'text/html':\n", " \"
\\n\"+\n", " \"

\\n\"+\n", " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", " \"

\\n\"+\n", " \"\\n\"+\n", " \"\\n\"+\n", " \"from bokeh.resources import INLINE\\n\"+\n", " \"output_notebook(resources=INLINE)\\n\"+\n", " \"\\n\"+\n", " \"
\"}};\n", "\n", " function display_loaded() {\n", " var el = document.getElementById(\"1004\");\n", " if (el != null) {\n", " el.textContent = \"BokehJS is loading...\";\n", " }\n", " if (root.Bokeh !== undefined) {\n", " if (el != null) {\n", " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", " }\n", " } else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(display_loaded, 100)\n", " }\n", " }\n", "\n", "\n", " function run_callbacks() {\n", " try {\n", " root._bokeh_onload_callbacks.forEach(function(callback) {\n", " if (callback != null)\n", " callback();\n", " });\n", " } finally {\n", " delete root._bokeh_onload_callbacks\n", " }\n", " console.debug(\"Bokeh: all callbacks have finished\");\n", " }\n", "\n", " function load_libs(css_urls, js_urls, callback) {\n", " if (css_urls == null) css_urls = [];\n", " if (js_urls == null) js_urls = [];\n", "\n", " root._bokeh_onload_callbacks.push(callback);\n", " if (root._bokeh_is_loading > 0) {\n", " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", " return null;\n", " }\n", " if (js_urls == null || js_urls.length === 0) {\n", " run_callbacks();\n", " return null;\n", " }\n", " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", "\n", " function on_load() {\n", " root._bokeh_is_loading--;\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", " run_callbacks()\n", " }\n", " }\n", "\n", " function on_error(url) {\n", " console.error(\"failed to load \" + url);\n", " }\n", "\n", " for (let i = 0; i < css_urls.length; i++) {\n", " const url = css_urls[i];\n", " const element = document.createElement(\"link\");\n", " element.onload = on_load;\n", " element.onerror = on_error.bind(null, url);\n", " element.rel = \"stylesheet\";\n", " element.type = \"text/css\";\n", " element.href = url;\n", " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", " document.body.appendChild(element);\n", " }\n", "\n", " const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\": \"XypntL49z55iwGVUW4qsEu83zKL3XEcz0MjuGOQ9SlaaQ68X/g+k1FcioZi7oQAc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\": \"bEsM86IHGDTLCS0Zod8a8WM6Y4+lafAL/eSiyQcuPzinmWNgNO2/olUF0Z2Dkn5i\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\": \"TX0gSQTdXTTeScqxj6PVQxTiRW8DOoGVwinyi1D3kxv7wuxQ02XkOxv0xwiypcAH\"};\n", "\n", " for (let i = 0; i < js_urls.length; i++) {\n", " const url = js_urls[i];\n", " const element = document.createElement('script');\n", " element.onload = on_load;\n", " element.onerror = on_error.bind(null, url);\n", " element.async = false;\n", " element.src = url;\n", " if (url in hashes) {\n", " element.crossOrigin = \"anonymous\";\n", " element.integrity = \"sha384-\" + hashes[url];\n", " }\n", " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", " document.head.appendChild(element);\n", " }\n", " };\n", "\n", " function inject_raw_css(css) {\n", " const element = document.createElement(\"style\");\n", " element.appendChild(document.createTextNode(css));\n", " document.body.appendChild(element);\n", " }\n", "\n", " \n", " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\"];\n", " var css_urls = [];\n", " \n", "\n", " var inline_js = [\n", " function(Bokeh) {\n", " Bokeh.set_log_level(\"info\");\n", " },\n", " function(Bokeh) {\n", " \n", " \n", " }\n", " ];\n", "\n", " function run_inline_js() {\n", " \n", " if (root.Bokeh !== undefined || force === true) {\n", " \n", " for (var i = 0; i < inline_js.length; i++) {\n", " inline_js[i].call(root, root.Bokeh);\n", " }\n", " if (force === true) {\n", " display_loaded();\n", " }} else if (Date.now() < root._bokeh_timeout) {\n", " setTimeout(run_inline_js, 100);\n", " } else if (!root._bokeh_failed_load) {\n", " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", " root._bokeh_failed_load = true;\n", " } else if (force !== true) {\n", " var cell = $(document.getElementById(\"1004\")).parents('.cell').data().cell;\n", " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", " }\n", "\n", " }\n", "\n", " if (root._bokeh_is_loading === 0) {\n", " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", " run_inline_js();\n", " } else {\n", " load_libs(css_urls, js_urls, function() {\n", " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", " run_inline_js();\n", " });\n", " }\n", "}(window));" ], "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1004\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error(url) {\n console.error(\"failed to load \" + url);\n }\n\n for (let i = 0; i < css_urls.length; i++) {\n const url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\": \"XypntL49z55iwGVUW4qsEu83zKL3XEcz0MjuGOQ9SlaaQ68X/g+k1FcioZi7oQAc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\": \"bEsM86IHGDTLCS0Zod8a8WM6Y4+lafAL/eSiyQcuPzinmWNgNO2/olUF0Z2Dkn5i\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\": \"TX0gSQTdXTTeScqxj6PVQxTiRW8DOoGVwinyi1D3kxv7wuxQ02XkOxv0xwiypcAH\"};\n\n for (let i = 0; i < js_urls.length; i++) {\n const url = js_urls[i];\n const element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error.bind(null, url);\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.3.2.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"1004\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from TelescopeML.DataMaster import *\n", "from TelescopeML.DeepTrainer import *\n", "from TelescopeML.Predictor import *\n", "from TelescopeML.IO_utils import load_or_dump_trained_model_CNN\n", "from TelescopeML.StatVisAnalyzer import *" ] }, { "cell_type": "markdown", "id": "98309fb6-0ed0-4f20-a65e-45b54910a8c8", "metadata": { "tags": [] }, "source": [ "## 3.1 Data Preperation \n", "\n", "### 3.1.1 Load the Synthetic spectra - training dataset\n", "\n", "We computed a low-resolution spectrum ($R$=200) utilizing atmopshric brown dwarfs grid model, [*Sonora-Bobcat*](https://arxiv.org/pdf/2107.07434.pdf) for spectral range $\\sim$0.9-2.4 $\\mu m$. An open-source atmospheric radiative transfer Python package, [*PICASO*](https://natashabatalha.github.io/picaso/) was employed for generating these datasets. This dataset encompass 30,888 synthetic spectra (or instances or rows). \n", "\n", "\n", "Each spectrum has 104 wavelengths (i.e., 0.897, 0.906, ..., 2.512 μm) and 4 output atmospheric parameters:\n", "\n", "- gravity (log *g*)\n", "- temperature (*T*eff)\n", "- carbon-to-oxygen ratio (C/O)\n", "- metallicity ([M/H])\n" ] }, { "cell_type": "code", "execution_count": 2, "id": "f0207e12-7f50-4abe-97bf-4d1229d5afd8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'/Users/egharibn/RESEARCH/ml/projects/TelescopeML_project/reference_data/'" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import os \n", "\n", "__reference_data_path__ = os.getenv(\"TelescopeML_reference_data\")\n", "__reference_data_path__ \n", "\n", "\n", "# Note: insert the directory of the reference_data if you get an error reading the reference data!!!\n", "# __reference_data_path__ = 'INSERT_DIRECTORY_OF_reference_data'\n" ] }, { "cell_type": "markdown", "id": "0e6447ec-26d9-4ad6-ac14-ccf292a25a0f", "metadata": {}, "source": [ " Load the dataset and check few instances " ] }, { "cell_type": "code", "execution_count": 3, "id": "68bfc730-ea01-488a-ae40-ad33704a34b4", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " gravity temperature c_o_ratio metallicity\n", "0 5.0 1100 0.25 -1.0\n", "1 5.0 1100 0.25 -0.7\n", "2 5.0 1100 0.25 -0.5\n", "3 5.0 1100 0.25 -0.3\n", "4 5.0 1100 0.25 0.0" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "output_names = ['gravity', 'temperature', 'c_o_ratio', 'metallicity']\n", "train_BD[output_names].head()" ] }, { "cell_type": "code", "execution_count": 5, "id": "74a42327-8bfb-4846-88b1-ad711c8da56e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['2.512', '2.487', '2.462', '2.438', '2.413']" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wavelength_names = [item for item in train_BD.columns.to_list() if item not in output_names]\n", "wavelength_names[:5]" ] }, { "cell_type": "code", "execution_count": 6, "id": "21aa48e5-b6ab-4db8-a2c9-b19ef458aabc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[2.512, 2.487, 2.462, 2.438, 2.413, 2.389, 2.366, 2.342, 2.319, 2.296]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wavelength_values = [float(item) for item in wavelength_names]\n", "wavelength_values[:10]" ] }, { "cell_type": "code", "execution_count": 7, "id": "d56d2d6b-63c2-4005-94cb-68815ace5ff6", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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wl
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" ], "text/plain": [ " wl\n", "0 2.511960\n", "1 2.486966\n", "2 2.462220\n", "3 2.437720\n", "4 2.413464" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wl_synthetic = pd.read_csv(os.path.join(__reference_data_path__, \n", " 'training_datasets', \n", " 'wl.csv'))\n", "wl_synthetic.head()" ] }, { "cell_type": "markdown", "id": "8bb511a7-5a5f-4b52-a6d9-e8533ece247e", "metadata": { "tags": [] }, "source": [ "### 3.1.3 Prepare Inputs and outputs for ML models (X,y)\n", "- X: 104 wavelengths and their corresponding flux values \n", "- y: output variables: 'gravity', 'temperature', 'c_o_ratio', 'metallicity'" ] }, { "cell_type": "code", "execution_count": 8, "id": "e90e78b1-4f64-40b6-b92e-6027c8ace483", "metadata": {}, "outputs": [], "source": [ "# Training variables\n", "X = train_BD.drop(\n", " columns=['gravity', \n", " 'temperature', \n", " 'c_o_ratio', \n", " 'metallicity'])\n", "\n", "\n", "# Target/Output feature variables\n", "y = train_BD[['gravity', 'c_o_ratio', 'metallicity', 'temperature', ]]\n" ] }, { "cell_type": "markdown", "id": "deff6ab8-a62a-4a2a-9a07-43757c6bb6a8", "metadata": {}, "source": [ "log-transform the 'temperature' variable toreduce the skewness of the data, making it more symmetric and normal-like for the ML model\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "07998d41-e101-410c-9a35-e5c6da1800b0", "metadata": {}, "outputs": [], "source": [ "y.loc[:, 'temperature'] = np.log10(y['temperature'])" ] }, { "cell_type": "code", "execution_count": 10, "id": "37b9edab-f6dd-406e-b4c4-aba7ef45634c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " gravity c_o_ratio metallicity temperature\n", "0 5.0 0.25 -1.0 3.041393\n", "1 5.0 0.25 -0.7 3.041393\n", "2 5.0 0.25 -0.5 3.041393\n", "3 5.0 0.25 -0.3 3.041393\n", "4 5.0 0.25 0.0 3.041393" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# check the output variables\n", "y.head()" ] }, { "cell_type": "markdown", "id": "6108f702-bb40-49f4-9c38-306e0e27ad4f", "metadata": {}, "source": [ "---" ] }, { "cell_type": "markdown", "id": "c9cc267d-85a9-44c6-9081-5067d0bdd8e6", "metadata": { "tags": [] }, "source": [ "## 3.2 Build the CNN model and Processing the Data\n", "\n", "Here we instintiate BuildRegressorCNN class from DeepBuilder module to prepare the datasets and take the trained CNN (Convolutional Neural Networks) for us:\n", "\n", "- Take the synthetic datasets\n", "- Process them, e.g.\n", " - Divide them to three sets: train, validation, and test sets\n", " - Scale y variables\n", " - Scale X variables\n", " - Create new features \n", " " ] }, { "cell_type": "markdown", "id": "107dde69-813d-4145-8765-7915321b704c", "metadata": {}, "source": [ "### 3.2.1 Instintiate BuildRegressorCNN class from DeepBuilder module" ] }, { "cell_type": "code", "execution_count": 11, "id": "bc38d0e4-a4c2-4288-9d33-ab15fb25093b", "metadata": {}, "outputs": [], "source": [ "data_processor = DataProcessor( \n", " flux_values=X.to_numpy(),\n", " wavelength_names=X.columns,\n", " wavelength_values=wavelength_values,\n", " output_values=y.to_numpy(),\n", " output_names=output_names,\n", " spectral_resolution=200,\n", " trained_ML_model=None,\n", " trained_ML_model_name='CNN',\n", " )" ] }, { "cell_type": "markdown", "id": "1559d83a-d54c-4d72-86d0-516f578e379d", "metadata": {}, "source": [ "### 3.2.2 Split the dataset into train, validate and test sets" ] }, { "cell_type": "code", "execution_count": 12, "id": "3a00b374-192b-4a7f-9606-a9015f6db53d", "metadata": {}, "outputs": [], "source": [ "data_processor.split_train_validation_test(test_size=0.1, \n", " val_size=0.1, \n", " random_state_=42,)" ] }, { "cell_type": "markdown", "id": "e0aa6f88-a1eb-4a8c-9965-ae92a84e6070", "metadata": {}, "source": [ "### 3.2.3 Standardize X Variables Row-wise " ] }, { "cell_type": "code", "execution_count": 13, "id": "a5401e9b-1a1f-4914-838f-cac6fa26ee1b", "metadata": {}, "outputs": [], "source": [ "# Scale the X features using MinMax Scaler\n", "data_processor.standardize_X_row_wise()" ] }, { "cell_type": "code", "execution_count": 14, "id": "7bd0840e-399b-46e7-93d5-3e850d28651a", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_boxplot( \n", " data = data_processor.X_train_standardized_rowwise[:, ::-1],\n", " title='Scaled main 104 Features',\n", " xlabel='Wavelength [$\\mu$m]',\n", " ylabel='Scaled Values',\n", " xticks_list=wavelength_names[::-1],\n", " fig_size=(18, 5),\n", " saved_file_name = 'Scaled_input_fluxes',\n", " __reference_data__ = __reference_data_path__,\n", " __save_plots__=True\n", " )" ] }, { "cell_type": "markdown", "id": "f35db1f3-ca36-4fb2-b040-7dbfbdf4dded", "metadata": {}, "source": [ "### 3.2.4 Standardize y Variables Column-wise " ] }, { "cell_type": "code", "execution_count": 15, "id": "ba7f068d-9503-4b77-b516-03d432309423", "metadata": {}, "outputs": [], "source": [ "# Standardize the y features using Standard Scaler\n", "data_processor.standardize_y_column_wise()" ] }, { "cell_type": "code", "execution_count": 16, "id": "502c120a-ed2c-4da3-b7d6-88d08c82d404", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_boxplot( \n", " data = data_processor.y_train_standardized_columnwise,\n", " title='Scaled main 104 Features',\n", " xlabel='Wavelength',\n", " ylabel='Scaled Output Values',\n", " xticks_list=['','$\\log g$', 'T$_{eff}$', 'C/O ratio', '[M/H]'],\n", " fig_size=(5, 5),\n", " saved_file_name = 'Scaled_output_parameters',\n", " __reference_data__ = __reference_data_path__,\n", " __save_plots__=True\n", " )" ] }, { "cell_type": "markdown", "id": "8352d53a-e91c-421f-a321-25a43156f5be", "metadata": {}, "source": [ "### 3.2.5 Feature engeenering: Take Min and Max of each row (BD spectra) " ] }, { "cell_type": "code", "execution_count": 17, "id": "0c15fbc3-74eb-4417-b536-fe2f1a6686f6", "metadata": {}, "outputs": [], "source": [ "# train\n", "data_processor.X_train_min = data_processor.X_train.min(axis=1)\n", "data_processor.X_train_max = data_processor.X_train.max(axis=1)\n", "\n", "# validation\n", "data_processor.X_val_min = data_processor.X_val.min(axis=1)\n", "data_processor.X_val_max = data_processor.X_val.max(axis=1)\n", "\n", "# test\n", "data_processor.X_test_min = data_processor.X_test.min(axis=1)\n", "data_processor.X_test_max = data_processor.X_test.max(axis=1)" ] }, { "cell_type": "code", "execution_count": 18, "id": "ab93721b-c0d0-4d4d-969a-d36bed701a67", "metadata": {}, "outputs": [], "source": [ "df_MinMax_train = pd.DataFrame((data_processor.X_train_min, data_processor.X_train_max)).T\n", "df_MinMax_val = pd.DataFrame((data_processor.X_val_min, data_processor.X_val_max)).T\n", "df_MinMax_test = pd.DataFrame((data_processor.X_test_min, data_processor.X_test_max)).T" ] }, { "cell_type": "code", "execution_count": 19, "id": "915c7c1f-2e5e-46ea-bcb9-29c6b4203f8c", "metadata": {}, "outputs": [], "source": [ "df_MinMax_train.rename(columns={0:'min', 1:'max'}, inplace=True)\n", "df_MinMax_val.rename(columns={0:'min', 1:'max'}, inplace=True)\n", "df_MinMax_test.rename(columns={0:'min', 1:'max'}, inplace=True)" ] }, { "cell_type": "code", "execution_count": 20, "id": "1aad7765-9e8e-436a-9760-a3b2210c4c7a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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minmax
08.265340e-123.445259e-08
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" ], "text/plain": [ " min max\n", "0 8.265340e-12 3.445259e-08\n", "1 8.080712e-22 8.397132e-14\n", "2 2.734403e-07 8.632182e-06\n", "3 4.414951e-16 3.373262e-10\n", "4 3.722576e-07 6.859888e-06" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_MinMax_train.head()" ] }, { "cell_type": "markdown", "id": "9f6890bd-f469-4282-9e73-7a22df6e6d05", "metadata": {}, "source": [ "### 3.2.6 Scale Min Max features - ColumnWise" ] }, { "cell_type": "code", "execution_count": 21, "id": "1ba420c3-13b0-418b-ab72-3d0dc45e156b", "metadata": {}, "outputs": [], "source": [ "data_processor.standardize_X_column_wise(\n", " output_indicator='Trained_StandardScaler_X_ColWise_MinMax',\n", " X_train = df_MinMax_train.to_numpy(),\n", " X_val = df_MinMax_val.to_numpy(),\n", " X_test = df_MinMax_test.to_numpy(),\n", " )" ] }, { "cell_type": "code", "execution_count": 22, "id": "c2a88179-5415-43cb-b3ce-c8bc96fff450", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_boxplot( \n", " data = data_processor.X_test_standardized_columnwise,\n", " title='Scaled Min Max Inputs - ColumnWise',\n", " xlabel='Wavelength',\n", " ylabel='Scaled Output Values',\n", " xticks_list= ['','Min','Max'],\n", " fig_size=(5, 5),\n", " saved_file_name = 'Scaled_input_Min_Max_fluxes',\n", " __reference_data__ = __reference_data_path__,\n", " __save_plots__=True\n", " )" ] }, { "cell_type": "markdown", "id": "cebec7ae-7d8f-4b76-a523-2280fd4d35a5", "metadata": { "tags": [] }, "source": [ "## 3.3 Train CNN model\n", "\n", "### 3.3.1 Instintiate *TrainRegressorCNN* class from *DeepTrainer* Module" ] }, { "cell_type": "markdown", "id": "79b9fb90-312c-4aa9-b656-d9fe06ce613e", "metadata": {}, "source": [ "\"ML\n" ] }, { "cell_type": "code", "execution_count": 23, "id": "2e823b8a-af2a-4025-815d-24c1d43fd6e7", "metadata": {}, "outputs": [], "source": [ "train_cnn_model = TrainRegressorCNN(\n", " # input dataset: StandardScaled instances \n", " X1_train = data_processor.X_train_standardized_rowwise,\n", " X1_val = data_processor.X_val_standardized_rowwise,\n", " X1_test = data_processor.X_test_standardized_rowwise,\n", "\n", " # input dataset: Min Max of each instance \n", " X2_train = data_processor.X_train_standardized_columnwise,\n", " X2_val = data_processor.X_val_standardized_columnwise,\n", " X2_test = data_processor.X_test_standardized_columnwise,\n", "\n", "\n", " # 1st target\n", " y1_train = data_processor.y_train_standardized_columnwise[:,0],\n", " y1_val = data_processor.y_val_standardized_columnwise[:,0],\n", " y1_test = data_processor.y_test_standardized_columnwise[:,0],\n", "\n", " # 2nd target\n", " y2_train = data_processor.y_train_standardized_columnwise[:,1],\n", " y2_val = data_processor.y_val_standardized_columnwise[:,1],\n", " y2_test = data_processor.y_test_standardized_columnwise[:,1],\n", "\n", " # 3rd target\n", " y3_train = data_processor.y_train_standardized_columnwise[:,2],\n", " y3_val = data_processor.y_val_standardized_columnwise[:,2],\n", " y3_test = data_processor.y_test_standardized_columnwise[:,2],\n", "\n", " # 4th target\n", " y4_train = data_processor.y_train_standardized_columnwise[:,3],\n", " y4_val = data_processor.y_val_standardized_columnwise[:,3],\n", " y4_test = data_processor.y_test_standardized_columnwise[:,3],\n", " )" ] }, { "cell_type": "markdown", "id": "e65c79d2-9123-45a8-937f-62d7fcd06c2d", "metadata": {}, "source": [ "### 3.3.2 Define the Hyperparameters" ] }, { "cell_type": "code", "execution_count": 24, "id": "c3c592ab-534e-41b4-acd8-1cd90096b62a", "metadata": {}, "outputs": [], "source": [ "hyperparameters = {\n", " 'Conv__MaxPooling1D': 3,\n", " 'Conv__NumberBlocks': 2,\n", " 'Conv__NumberLayers': 3,\n", " 'Conv__filters': 32,\n", " 'Conv__kernel_size': 4,\n", " 'FC1__NumberLayers': 3,\n", " 'FC1__dropout': 0.0013358917126831819,\n", " 'FC1__units': 256,\n", " 'FC2__NumberBlocks': 1,\n", " 'FC2__NumberLayers': 4,\n", " 'FC2__dropout': 0.0018989744374361271,\n", " 'FC2__units': 128,\n", " 'lr': 0.00018890368162236508\n", " }" ] }, { "cell_type": "markdown", "id": "4e4adeb0-42fd-451c-98c2-79272adbdbfc", "metadata": {}, "source": [ "### 3.3.3 Build a CNN model" ] }, { "cell_type": "code", "execution_count": 25, "id": "5ffd7ce9-8ef4-4b3a-94d7-7f78a30e839e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"model\"\n", "__________________________________________________________________________________________________\n", " Layer (type) Output Shape Param # Connected to \n", "==================================================================================================\n", " input_1 (InputLayer) [(None, 104, 1)] 0 [] \n", " \n", " Conv__B1_L1 (Conv1D) (None, 104, 32) 160 ['input_1[0][0]'] \n", " \n", " Conv__B1_L2 (Conv1D) (None, 104, 128) 16512 ['Conv__B1_L1[0][0]'] \n", " \n", " Conv__B1_L3 (Conv1D) (None, 104, 288) 147744 ['Conv__B1_L2[0][0]'] \n", " \n", " Conv__B1__MaxPooling1D (Ma (None, 34, 288) 0 ['Conv__B1_L3[0][0]'] \n", " xPooling1D) \n", " \n", " Conv__B2_L1 (Conv1D) (None, 34, 128) 147584 ['Conv__B1__MaxPooling1D[0][0]\n", " '] \n", " \n", " Conv__B2_L2 (Conv1D) (None, 34, 288) 147744 ['Conv__B2_L1[0][0]'] \n", " \n", " Conv__B2_L3 (Conv1D) (None, 34, 512) 590336 ['Conv__B2_L2[0][0]'] \n", " \n", " Conv__B2__MaxPooling1D (Ma (None, 11, 512) 0 ['Conv__B2_L3[0][0]'] \n", " xPooling1D) \n", " \n", " flatten (Flatten) (None, 5632) 0 ['Conv__B2__MaxPooling1D[0][0]\n", " '] \n", " \n", " FC1__B1_L1 (Dense) (None, 256) 1442048 ['flatten[0][0]'] \n", " \n", " FC1__B1_L2 (Dense) (None, 1024) 263168 ['FC1__B1_L1[0][0]'] \n", " \n", " FC1__B1_L3 (Dense) (None, 2304) 2361600 ['FC1__B1_L2[0][0]'] \n", " \n", " FC1__B1_L3__Dropout (Dropo (None, 2304) 0 ['FC1__B1_L3[0][0]'] \n", " ut) \n", " \n", " input_2 (InputLayer) [(None, 2)] 0 [] \n", " \n", " Concatenated_Layer (Concat (None, 2306) 0 ['FC1__B1_L3__Dropout[0][0]', \n", " enate) 'input_2[0][0]'] \n", " \n", " FC2__B1_L1 (Dense) (None, 128) 295296 ['Concatenated_Layer[0][0]'] \n", " \n", " FC2__B1_L2 (Dense) (None, 512) 66048 ['FC2__B1_L1[0][0]'] \n", " \n", " FC2__B1_L3 (Dense) (None, 1152) 590976 ['FC2__B1_L2[0][0]'] \n", " \n", " FC2__B1_L4 (Dense) (None, 2048) 2361344 ['FC2__B1_L3[0][0]'] \n", " \n", " FC2__B1_L4__Dropout (Dropo (None, 2048) 0 ['FC2__B1_L4[0][0]'] \n", " ut) \n", " \n", " output__gravity (Dense) (None, 1) 2049 ['FC2__B1_L4__Dropout[0][0]'] \n", " \n", " output__c_o_ratio (Dense) (None, 1) 2049 ['FC2__B1_L4__Dropout[0][0]'] \n", " \n", " output__metallicity (Dense (None, 1) 2049 ['FC2__B1_L4__Dropout[0][0]'] \n", " ) \n", " \n", " output__temperature (Dense (None, 1) 2049 ['FC2__B1_L4__Dropout[0][0]'] \n", " ) \n", " \n", "==================================================================================================\n", "Total params: 8438756 (32.19 MB)\n", "Trainable params: 8438756 (32.19 MB)\n", "Non-trainable params: 0 (0.00 Byte)\n", "__________________________________________________________________________________________________\n", "None\n" ] } ], "source": [ "train_cnn_model.build_model(config=hyperparameters, )" ] }, { "cell_type": "markdown", "id": "2ebd6cd2-e25b-49a7-b207-7eba0486952e", "metadata": { "tags": [] }, "source": [ "### 3.3.4 Train the CNN model using the datasets" ] }, { "cell_type": "code", "execution_count": 26, "id": "e23b745d-a0c5-429f-8f69-d127e66f6705", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/2\n", "26/26 [==============================] - 32s 1s/step - loss: 2.2923 - output__gravity_loss: 0.7297 - output__c_o_ratio_loss: 0.4633 - output__metallicity_loss: 0.6245 - output__temperature_loss: 0.4748 - output__gravity_mae: 1.1194 - output__c_o_ratio_mae: 0.8309 - output__metallicity_mae: 0.9768 - output__temperature_mae: 0.7234 - val_loss: 0.7385 - val_output__gravity_loss: 0.2763 - val_output__c_o_ratio_loss: 0.2822 - val_output__metallicity_loss: 0.1582 - val_output__temperature_loss: 0.0218 - val_output__gravity_mae: 0.6163 - val_output__c_o_ratio_mae: 0.6367 - val_output__metallicity_mae: 0.4528 - val_output__temperature_mae: 0.1600\n", "Epoch 2/2\n", "26/26 [==============================] - 29s 1s/step - loss: 0.5130 - output__gravity_loss: 0.2197 - output__c_o_ratio_loss: 0.1363 - output__metallicity_loss: 0.1365 - output__temperature_loss: 0.0205 - output__gravity_mae: 0.5423 - output__c_o_ratio_mae: 0.4081 - output__metallicity_mae: 0.4172 - output__temperature_mae: 0.1547 - val_loss: 0.3571 - val_output__gravity_loss: 0.1372 - val_output__c_o_ratio_loss: 0.0695 - val_output__metallicity_loss: 0.1309 - val_output__temperature_loss: 0.0194 - val_output__gravity_mae: 0.4150 - val_output__c_o_ratio_mae: 0.2874 - val_output__metallicity_mae: 0.4071 - val_output__temperature_mae: 0.1578\n" ] } ], "source": [ "history, model = train_cnn_model.fit_cnn_model(batch_size=1000,\n", " budget=2)" ] }, { "cell_type": "markdown", "id": "7c218955-42c5-4e84-b9fd-f5dccf128881", "metadata": { "tags": [] }, "source": [ "### 3.3.5 Check the Trained CNN Archeticture and Summary\n", "\n", "Checking the architecture of a CNN and its summary is importnat because it provide insights about: \n", "- Model Design and Structure\n", "- Model complexity\n", "- Hyperparameter Tuning:" ] }, { "cell_type": "code", "execution_count": 27, "id": "d54365d5-70d1-445b-84ee-13a145a1893d", "metadata": {}, "outputs": [], "source": [ "data_processor.trained_ML_model = model\n", "data_processor.history = history" ] }, { "cell_type": "code", "execution_count": 28, "id": "34c9c0e3-f5eb-4e8e-8723-0a11f4d16637", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tf.keras.utils.plot_model(\n", " train_cnn_model.model,\n", " to_file=\"model.png\",\n", " show_shapes=True,\n", " show_dtype=False,\n", " show_layer_names=True,\n", " rankdir=\"TB\",\n", " expand_nested=True,\n", " dpi=90,\n", " layer_range=None,\n", " )" ] }, { "cell_type": "markdown", "id": "d362f2b2-e53e-40e7-9fd7-f94c9dcafc06", "metadata": {}, "source": [ "### 3.3.6 Trained Model Outcomes\n", "\n", "Note: This is not the final trained model because the budget is very low and the batch number is very high. For this reason, we add \"_TEST\" to the end of the model name, but we will not be using it.\n" ] }, { "cell_type": "code", "execution_count": 29, "id": "5476bc74-ed25-4793-b9ea-8d153b85674b", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/anaconda3/envs/dl2/lib/python3.9/site-packages/keras/src/engine/training.py:3079: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.\n", " saving_api.save_model(\n" ] } ], "source": [ "load_or_dump_trained_model_CNN( trained_model = data_processor,\n", " output_indicator='tuned_bohb_batch32_v3_1000epoch_out10_TEST',\n", " load_or_dump = 'dump')" ] }, { "cell_type": "markdown", "id": "497859c9-57b5-4960-9929-98cd0fb1404a", "metadata": { "tags": [] }, "source": [ "## 3.4 Check the performance of the Trained Model" ] }, { "cell_type": "markdown", "id": "97852f63-61d5-4908-9e76-1d9aaf4eb6bd", "metadata": {}, "source": [ "### 3.4.1 Load the Saved Trained CNN Models" ] }, { "cell_type": "code", "execution_count": 30, "id": "9df88951-7795-4645-b692-cc42fba2492d", "metadata": {}, "outputs": [], "source": [ "loaded_model, history = load_or_dump_trained_model_CNN(output_indicator='tuned_bohb_batch32_v3_1000epoch_out10',\n", " load_or_dump = 'load')" ] }, { "cell_type": "code", "execution_count": 31, "id": "cbbfc24d-f767-41a4-b213-db4fe7d6bd60", "metadata": {}, "outputs": [], "source": [ "train_cnn_model.trained_model = loaded_model\n", "train_cnn_model.trained_model_history = history" ] }, { "cell_type": "markdown", "id": "e359714e-5622-426f-b999-8a63769c32e5", "metadata": {}, "source": [ "### 3.4.2 Double-check the Trained CNN Archeticture and Summary" ] }, { "cell_type": "code", "execution_count": 32, "id": "9239fc9c-3fa9-4833-8999-04132087ecda", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tf.keras.utils.plot_model(\n", " train_cnn_model.trained_model,\n", " # to_file=\"model.png\",\n", " show_shapes=True,\n", " show_dtype=False,\n", " show_layer_names=True,\n", " rankdir=\"TB\",\n", " expand_nested=True,\n", " dpi=90,\n", " layer_range=None,\n", ")" ] }, { "cell_type": "code", "execution_count": 33, "id": "a7199a91-1b68-4d43-af65-13855060db49", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"model_1\"\n", "__________________________________________________________________________________________________\n", " Layer (type) Output Shape Param # Connected to \n", "==================================================================================================\n", " input_3 (InputLayer) [(None, 104, 1)] 0 [] \n", " \n", " Conv__B1_L1 (Conv1D) (None, 104, 32) 160 ['input_3[0][0]'] \n", " \n", " Conv__B1_L2 (Conv1D) (None, 104, 128) 16512 ['Conv__B1_L1[0][0]'] \n", " \n", " Conv__B1_L3 (Conv1D) (None, 104, 288) 147744 ['Conv__B1_L2[0][0]'] \n", " \n", " Conv__B1__MaxPooling1D (Ma (None, 34, 288) 0 ['Conv__B1_L3[0][0]'] \n", " xPooling1D) \n", " \n", " Conv__B2_L1 (Conv1D) (None, 34, 128) 147584 ['Conv__B1__MaxPooling1D[0][0]\n", " '] \n", " \n", " Conv__B2_L2 (Conv1D) (None, 34, 288) 147744 ['Conv__B2_L1[0][0]'] \n", " \n", " Conv__B2_L3 (Conv1D) (None, 34, 512) 590336 ['Conv__B2_L2[0][0]'] \n", " \n", " Conv__B2__MaxPooling1D (Ma (None, 11, 512) 0 ['Conv__B2_L3[0][0]'] \n", " xPooling1D) \n", " \n", " flatten_1 (Flatten) (None, 5632) 0 ['Conv__B2__MaxPooling1D[0][0]\n", " '] \n", " \n", " FC1__B1_L1 (Dense) (None, 256) 1442048 ['flatten_1[0][0]'] \n", " \n", " FC1__B1_L2 (Dense) (None, 1024) 263168 ['FC1__B1_L1[0][0]'] \n", " \n", " FC1__B1_L3 (Dense) (None, 2304) 2361600 ['FC1__B1_L2[0][0]'] \n", " \n", " FC1__B1_L3__Dropout (Dropo (None, 2304) 0 ['FC1__B1_L3[0][0]'] \n", " ut) \n", " \n", " input_4 (InputLayer) [(None, 2)] 0 [] \n", " \n", " Concatenated_Layer (Concat (None, 2306) 0 ['FC1__B1_L3__Dropout[0][0]', \n", " enate) 'input_4[0][0]'] \n", " \n", " FC2__B1_L1 (Dense) (None, 128) 295296 ['Concatenated_Layer[0][0]'] \n", " \n", " FC2__B1_L2 (Dense) (None, 512) 66048 ['FC2__B1_L1[0][0]'] \n", " \n", " FC2__B1_L3 (Dense) (None, 1152) 590976 ['FC2__B1_L2[0][0]'] \n", " \n", " FC2__B1_L4 (Dense) (None, 2048) 2361344 ['FC2__B1_L3[0][0]'] \n", " \n", " FC2__B1_L4__Dropout (Dropo (None, 2048) 0 ['FC2__B1_L4[0][0]'] \n", " ut) \n", " \n", " output__gravity (Dense) (None, 1) 2049 ['FC2__B1_L4__Dropout[0][0]'] \n", " \n", " output__c_o_ratio (Dense) (None, 1) 2049 ['FC2__B1_L4__Dropout[0][0]'] \n", " \n", " output__metallicity (Dense (None, 1) 2049 ['FC2__B1_L4__Dropout[0][0]'] \n", " ) \n", " \n", " output__temperature (Dense (None, 1) 2049 ['FC2__B1_L4__Dropout[0][0]'] \n", " ) \n", " \n", "==================================================================================================\n", "Total params: 8438756 (32.19 MB)\n", "Trainable params: 8438756 (32.19 MB)\n", "Non-trainable params: 0 (0.00 Byte)\n", "__________________________________________________________________________________________________\n" ] } ], "source": [ "train_cnn_model.trained_model.summary()" ] }, { "cell_type": "markdown", "id": "36499814-0ceb-40c9-a65b-b579bf5bcd45", "metadata": {}, "source": [ "### 3.4.3 Check the training history through *Loss* metric" ] }, { "cell_type": "code", "execution_count": 34, "id": "a3b3527d-e455-47ef-9177-ce7b09065705", "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "
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"plot_ML_model_loss_bokeh(trained_ML_model_history = train_cnn_model.trained_model_history,\n", " title = 'Hyperparameter-Tuned CNN model')" ] }, { "cell_type": "markdown", "id": "691d18a6-63a6-4576-8048-5c77d2c3579c", "metadata": {}, "source": [ "### 3.4.4 Plot the Performance of the trained CNN models - Regression metrics\n", "- Plot predicted against actual scatter plots for all parameters \n", "- Plot Residual histograms (predicted - Actual)\n", "- Report regression metrics: R$^2$ and skewness for training and test sets" ] }, { "cell_type": "code", "execution_count": 35, "id": "348e061c-dd4a-47e8-8f71-a0807c8af462", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "131/131 [==============================] - 4s 29ms/step\n", "17/17 [==============================] - 1s 29ms/step\n" ] }, { "data": { "image/png": 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\n", 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\n", 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P2A8/7/3gCP7ouzSOzuGH87IQjiM2wKo618Yr7zgQeXIikH7M6Q/ACYXceDr+qZfxgyP44wEC4+gcfjgvC+HoiecWReRzIrJGRPpEZHnWshoReVBEukRks4hcnLG4mr3xgjsoboZmg8FgyAm744ArsWI1nATUkZEdWVVnOeAx3pxwbUC6T2Ei0OqAi21qa2sLublx4QdHKFLQoBwxjs7hh/OyEI52r4B/ChwFXI91lfnvwBbgx05I5JETbhVWo03q72onfOzS19dXyM2NCz84gj/CKBpH5/DDeVkIR7vD0M4EFqlqi4gkVPVhEVkDPIJDjfAIjJoTTlVfSXVLPIMVrnLY/HRu5YR76623iMViY+awKunvJJlM7pOXKzu32JjTyeTgTZZgKIgmdbDPLxDuY/fu3fvsU9qxoDnhmjopLQlSWV5Ke1cfA/0DY+5TIp5AAjJkn7L3MRgMoqqEey2neKgc0STBRC8NDQ0j71OTtc/RSAnhkiAtnb0M9A/sky9tpPxpmTnhJCA5Haeu3gFivQP09Fm5xeqmj37uBeM9g/sEkEhYLumEoIFgAEEG5wcCAURkyHp29mlr8x4rJ9yEHUXJCdfY2Di4PH2cwr0te4+LZO1jDsdppOOSzt23detWW/u0bdu2Qcdi5ITLJMDevtaYiFRhjQF2bkzX8NjJCfe1sQpxKyfclClTmJORn2ykHFYDpbsJxIfJ0xXIb5oAg4Puk8EwkyZN2mefYrHYEMeC5ITrHprTLTPH2mj7lM4JN+RBguxpoK9s6E/DeEnFkH3cZ5/qh2a1mhApHeo0Rv60Qcd+hs0JN9p0RVkJFWUZOebGOPcSod2D+wQQTFr7nt21kB12Mj2dbsC8nhOuvb19yDED67iWJDOOS/Y+2j1OI0ync/fNnDnT1j5VVVXt8/0uWE64LNJXnX8BnsHql41hpQxyE0/nhDMxTZ3DD32XxtE5/HBeFjUecBafAhpS7z8P9AJVjPCT30EGc8JlzPNMTrj0TyQv4wdHAMX7fZfG0Tn8cF4WwtHWFbCqvp3xfjfwSScl/JoTrrOzc5+fIF7DD45g9V3avXob9smz7CfOXCAXx2LhB0fwx3lZCEfbKYlE5BPsG47yDnXmtqsvc8IZvEMuucEMBq9gdxzw97CuPG8GNgOzgauBBcBX8pXwa0647A53L+IHR/BHLjPj6Bx+OC8L4Wj3Cvhy4ChV3ZaeISKPAi/gQANcCMwVsMFg8Bp2/13uYd+RB3uATmd13ENEzhOR2zo6ske1jZ/0mD8v4wdH2DvO1csYR+fww3lZCMfRsiLPS7+wuh4eEJEzRGSRiJwJ3Ie7D2E4ihvR0AwGgyEfRuuCeAtQMuI+AKdkrXMqcIvTUm7gRh9wZWX2EGXv4QdH8Eff5f7kmL5pOVx+veFwOueeH87LQjiOFo4yoKrB1N+RXt4f75LCjStgPwz38YMjgOCDLLnG0TH8cF4WwjGnf+kiMktEjhORmW4J+YmxnvP2An5wBDMw3yn84Aj+OC8L4Wh3GNpUrHG/x2GNxa0VkeeAj6jqDhf9DAaDwVHsJv8M97bQV7bb8e6XTOwOQ/sZVjyIc1JPp1UANwK3Au91S24sRGQi8CSwGHiHqr46yrqO9wFnB/MoJku7nx32abBoZw/0rd/3Ay7nJsuVfQINeZD90dF2Esz0ueXQeeOl785IJIJh17dh92idAHxJVbsAUn+/QvEfCe4G3gPcP9aKbvQBh8PuH6B8CZd4v68NQMT7fZfG0Tn88N1Rsf2g8Lixu4U2rKvMlzLmLWBomvqCo6oDwO5inXQtLS37hGv0Gi2dvUyIlDpWnp2fb+NJpZ5IJDw/ysA4OocfvjuheBeJUJmr27B7pL4H/FlEbhKRT4vITVg//b9nd0N55H0zGAyG/RK70dB+LiIbgYuBw7GC8Vykqn/NYVvjyvsmIlMYvovhAlVtzGH7jpMdwNmLDAkG7mH2x/5V2DdIkN1xt+PFD/UI/vjuJALO/XIciTEbYBEJYsXlXZxjgzsEVX0gVd4yYEZG+em8b4eqagxYJSLpvG/XpBrZgqabt0skkv1/xHtEwu73YzmBBLzfd2kcncMP351k0AMNsKomRCQBlAFuZKkbNe/bWIjI41hXzQtE5H9Vdfkw6wzmhMNKqfTGKEVOZN80SCNRB9gJRGu3zFy2vc+6Xxh+PbuOuWzfjf3xVF2OgNOOuazrtGNO2/7CAXy87/i4I+XNHnauqo75worJ+wRWo3gQMC/9svP5rLJuAJZnTJ8INGat8ylgZa5lO/ECbsth3TVOlpnjtu2WacvRDc8DtS5d2rY53vvB8c5+2f19mo73cEZ2+w3kO87Ja3nfHilimbls2w+efnDMdd1ibdsPdekHx1zXdbU8SbXgBUNEbgBmqOrlqekKrGFuS1T1zdS8XwM7VPWagsrliIisUdVlxfYYDT84gj88jaNz+MGzEI6j3jIVkXIRuVFEfi8i14nIuEdPi0golettMO+biITUeqgjnfetQkSOx8q+sWK82yogtxVbwAZ+cAR/eBpH5/CDp+uOo14Bi8gdwDHAH4BzgL+p6r+Pa0Mi1zE07xvAt1X1OhGpwcr7dgZWrIlrVPWu8WzHYDAY/MJYDfBOrFREO1MR0J5W1bkFszMYDIb9mLEa4E5VrcyYblVVb+eSNhgMBp8w1mMzIRE5RUROFZFTs6dT8w4Ycn1kOpXS6VER2SMizans0p5yzPjcX0VERdyPQJKLo4h8TETWikiniGwTke+55Zij1xdFpFFEOkTkjnzuj7jlWci6G69j1mcKdg7m6ujad3mM8W0NwKZRXm+Pd/ybH1/A3cA9QBTr6bwOrNEbw61bCmwE/hOowHqQ5XAvOWZ85hLgaaxhhSEvOQKfxhorXgpMB9Zi3SMomhfW4/RNwBKgGlgJ3OS187CQdZfveVjoczDHenTtu1yQE2Z/eKUqvh+YnzFvxUhfPKwn757xsmNq+USsR83fUYiTfzyOWZ//T+CRYnoBdwE3ZkyfRtbDRF6sP7fqLl/HQp+D4zjern2X/RG5wxuM9Mj0khHWfwfQICJ/SP1kWSkih3nMEazA+j8DChXYaDyOmbwLWOe4VW5eSxgamvUloF5Eal3wyiaf+nOr7rLJ1bHQ5yDk5ujad9k0wPaJsu/z3h3ASEFNZwAfAX4CTAMeAx4WETcjfOTkKFZgpOOB/3bRKZtc63EQEfk4sAz4QZG9stdNvy9EgNtx1Z/LdZeNbccinYOQWz269l02DXCK1H81HeG1itwfme4BVqnqH1S1H+vErwUWecFRRALAT4EvqGp8vE5uOmaV+z7gJuBsVbUbbCYXcvHKXjf9vhCPz+dcfwWou2xsObp1Dtokl3p0/LucxjTAKVT1ZFWVEV4nYPVRhUTkkIyPLWXkn3QvY/VnedWxEuuK6B4RaQTSqS62iciJHnEEQETeDfwcOE9VXxmv2xjk4rUutSxzvSZVbXHJLZOc6q9AdZeNXUdXzkGHHcGF7/Igbnd2708vrMzQd2N14B/P6HfvF2DlrDsd6/HrL2LdSS31giMgwJSM1zGpk2y6VxxT656K9XTku7xyfIF3Y/VXLsYaBfFXCjsKwq5nwepuPI7FPAdzrEfXvssFPSh+fwE1wENAF7AFuDhj2SysnzWzMuZ9AHgL6MQaqjTqcLBiOGYsm0Ph7kDbdgT+BsRT89KvPxTSa4Rj+59YQ9E6gV8C4WKfh8Wsu3zqshjn4DiOtyvf5YJHQzMYDAaDhekDNhgMhiJhGmCDwWAoEqYBNhgMhiJhGmCDwWAoEqYBNhgMhiJhGmCDwWAoEqYBNhhGQEQuEZE/jbJ8pYhc4cB2ThaRbfmWY/AfpgE27DeISIOI9IhILBUsfbmIRMdbnqreqapnOuloMGRiGmDD/sZ5qhoFjgCOBL5WXB2DYWRMA2zYL1HVRuAJrIYYEXmHiPxdRNpF5CUROTm9rohcLiJvp9LNbBKRSzLmr8pY7wwReT2VhugWrFgG6WXXichvMqbnZKbXEZGPi8j61DbeFpF/c7cGDH7ANMCG/RIRmQGcDbwlItOxYrjegPX8/9XA70RkkohUYMV5PVtVJwDvBF4cprw64HfAtUAdVjCW43NQ2gWcixUB7OPAj0XkqPHtnWF/wTTAhv2Nh0RkD7AVq9H7FnAp8LiqPq6qSVV9ElgDnJP6TBI4VEQiqrpTVYcLSXgO8Jqq3q+qA8DN5JDBQVUfU9WNavEU8CesfG2GAxjTABv2N96XupI9GViIdbU6G7gw1f3QLiLtWEkYp6pqF/Bh4Cpgp4g8JiILhyl3GlajDoBaUay2DrPesIjI2SLynIi0prZ/TsrNcABjGmDDfknqKnM5VvaCrcAKVa3KeFWo6k2pdZ9Q1TOAqcDrWAHMs9kJzExPiIhkTmOFNCzPmJ6SsW4Yq/viB0C9qlYBj5PRh2w4MDENsGF/5mbgDGAVcJ6InCUiQREpS429nSEi9SLy3lRfcB9WHNjEMGU9BiwRkQ+kbqx9noxGFqvf+F0iMktEJjJ09EUpEAZ2A3ERORsww9sMpgE27L+o6m7g18B/AOcDX8dqBLcCX8Y6/wPAl4AdQCtwEvCZYcpqBi7Eyq3WAhwCrM5Y/iRwD1b6mrXAoxnL9mA12PcCbcDFwO8d3FWDTzEB2Q0Gg6FImCtgg8FgKBKmATYYDIYiYRpgg8FgKBKmATYYDIYiYRpgg8FgKBKmATYYDIYiYRpgg8FgKBKmATYYDIYiYRpgg8FgKBKmATYYDIYiYRpgg8FgKBKmATYYDIYiESq2QKGpq6vTOXPm5PSZ/v5+SktL3RFyGD+5gr98jas7+MkVxue7du3aZlWdlD3/gGuA58yZw5o1a3L6TEdHBxMnTnTJyFn85Ar+8jWu7uAnVxifr4hsHm6+6YKwQSIxXHxub+InV/CXr3F1Bz+5grO+pgG2QWdnZ7EVbOMnV/CXr3F1Bz+5grO+B0wDLCLnichtHR0dxVYxGAwG4ABqgFX1EVW9cjx9TVVVVc4LuYSfXMFfvsbVHfziqqpsbuliaww2t3ThRDahA+4mnMFgMOSKqrKtqYmKjreZ2dJAtGQu2wbmMqO+HitB9vjw1BWwiIRF5HYR2Swie0TkX6kMsiOt/0URaRSRDhG5I5X+23Ha29vHXGfVqlV88pOf5NJLL+Vzn/ucGxq2sOPqJfzka1zdwQ+uu1u6qOvbTQ17SPZ0UM0e6vp2s7ulK69yPdUAY12Rb8XKTDsR+AZwr4jMyV5RRM4CrgFOA+YA84Bvuy04Z84cFi5cyNKlS1m0aBG/+MUvADjhhBO4/fbb+c1vfsPWrVuJxWJuq7BhwwaOO+445s+fz3HHHcebb7457HqPPfYYRx11FIcddhgnnXQSmzZtGlz2vve9j6VLl3LkkUdy4okn8uKLL7rubTD4jfJ4C+HGZ5GnvoesfwR56v8SbnyW8nhLfgWrqqdfWGm+PzjM/LuAGzOmTwMaxyrv6KOP1lxpaWkZfD979mx95ZVXVFX1lVde0ZKSEt2+ffvg8kcffVS/+tWv5ryN8XDKKafoihUrVFV1xYoVesoppwxxVVVtbW3V2tpafeONNwbXO+usswaXt7e3D75/6KGH9MgjjyyA+V6yfb2McXUHP7gm3lypyf85TpPXVWnzt2Zq8roqTf7PcZp4c6WtzwNrdJj2yGtXwEMQkXpgPrBumMVLgJcypl8C6kWk1mmPYDA47PxDDz2U6upqtm/fDsDy5ct5/vnnuemmm5xW2Iddu3bxwgsvcNFFFwFw0UUX8cILL9DW1jZkvbfeeov6+nrmz58PwDnnnMMTTzxBc3MzwJAB5R0dHQQChT0lRqpbL2Jc3cEXrl1NsHs9aJIgCdCkNd3dlFexnr0JJyIlwJ3Ar1T19WFWiQKZY8rS7ycAQ34XiMiVwJUA06ZNIxaL0dPTQ1eX1X9TW1tLX1/fYLdBdXU1iURicLxfLBZDVWlvbycej9PR0UFHRwdPPvkkEydOZPr06dx777187Wtf49RTT+VjH/sY11133WDnfCQSIRqN0tzcjKpSVlZGNBqlra2NRCJBaWkplZWVg+V/9rOfZevWrSQSCVQVESEYDJJMJrn//vuJRCJs3bqV+vp6tm7dCkBdXR319fWsWrWKYDA4uE/hcJgdO3bwt7/9jaVLl/KTn/wEgHXr1rF06VLa29v56le/yurVqwG44447aGhoIBqNEg6HaWmxqrKiooJIJDLYcOe6T6FQiKqqKjo7O+nv7ycYDFJdXc3GjRupqalBRKirqxs8Nul9yuU4pe+mp/sUKysrCQaDg/+U8t2nlpYWFixYMOY+xWIxent7i7pP69evZ8qUKY4dJzf3qbOzk9mzZzt2nNzYp+q+BP1SR0xLadRJLJI3SUgZHc09BBoaxjxOIzLcZXGxX1h9078FHgdKRljnJeBDGdO1gAK1o5U9ni6ITZs2Db6fPXu2LliwQOfPn6/BYFB///vf51yeE6xZs0YXL148ZN6iRYv0kUce2WfdJ598Uo8//ng9+uij9dprr9Wqqip9+eWX91nv17/+tZ599tmuOQ9HZt16HePqDn5wTWx4UpMPfkaT19fp299arMnr6zT54Gc0seFPtj7PCF0QnrsCFuuy8XagHjhHVQdGWHUdsBS4NzW9FGhS1Tx7xfclGo0Omb7//vs59NBDue+++7j00kvZsGED9fX1jm3vggsu4K233hp22bPPPkskEmHmzJls376dRCJBMBgkkUiwY8cODj744H0+c/rpp3P66acD0NTUxPe//33mzZu3z3qXXXYZV155JS0tLdTWOt6TMyzZdetljKs7+MFVS2qQyUtg8flEewQiCpOXoCU1eZXruQYY+BmwCDhdVXtGWe/XwHIRuRPYCVwLLHdDKBwefnTbhRdeyL333stNN93E+eefz6pVq7j22muHrKOpLoRM1qxZw4svvsgVV1wxbLn333//mE6TJ0/miCOO4O677+bSSy/l7rvv5sgjj2T69On7rNvY2MiUKVNIJpN8/etf56qrrqKiooJYLEZbWxszZ84E4JFHHqGmpoaamvxOqlwYqW69iHF1Bz+4NibKmFo+GTnodMJtzVBdhxJiZyLCjDzK9VQDLCKzgX8D+oDGjIbr34BngNeAxaq6RVX/KCLfA/4GRIDfAd9yw6ulpYUJEyYMu+y73/0uRx99ND09PWzYsIGysjKWLVvGd77zHc4880xOOeUUHn74Yfbs2UN1dTXf/va3icViNDY2snLlSr773e9y5pln8s9//pNf/epXlJWV2fa69dZb+djHPsb1119PdXU1v/71rwddzznnHK6//nqWLVvGtddey+rVq+nv7+fMM88cvEnY1dXFhRdeSFdXF8FgkJqaGh555JG8Bpbnymh16zWMqzvk66qqbGntpjnWR100zKyacsfP4V1Sg/ZHqBnYTlNHF6HSUlpLprNbavafBlhVNwOj1dyQ3yqq+iPgR65KZdHQ0DBk+uCDD6ajo4OVK1eyatUqrr76alauXMkRRxzBV7/6VVpbWxkYGKCqqoqHHnqIL37xi0M+f9RRR/GlL32Jb33rW7z44ou84x3vsO2ycOFC/vGPfwzr9/jjjw/OS49Vzqa+vp7nnnvO9vYMBq+hqvz5tSbuX7uNeFIJBYQLjp7B6Yvze0Itm9Ze+PHL1Xzo4CriiS28MTCLe9cLH3tnfuV6qgF2ExE5DzhvuD7SsaioqBhznezhW9XV1YA1NO3444/n/PPP57nnntvnAY102SUlJfT29ubsNh5XL+EnX+PqDvm4bmntHmx8AeJJ5f6125g/ZQKza52rg0BAWN8Y4+aOUsKJSvo2D9DR3U8wkF8j7+lxwE6ieQTjiUQiY66zcOFCnnvuOf7rv/5ryPwTTzyRO++8kx/84Afs2rUr523nih1XL+EnX+PqDvm4Nsf6BhvfNPGk0hzry1drCHNqK5g0oYxNzV1sbB1g0+4uJk0oy7uRF2uExIHDsmXLNNeMGA0NDeSaxqhY+MkV/OVrXN0hH9fNLV3c+Nj6IY1wKCB8/T2LHL0CfnlbG/c+v43fv7SD6mQ7bYEq3rt0Gh86ZgaHz6ge8/MislZVl2XPP2CugA0Gw/7HrJpyPnj0DPoTSdp7BuhPJPng0TOYVVPu6Ha2t/Xw7FvNnLWknnfMreWsJfU8+1Yz29tGG6g1NgdMH3A+HCg/54qBn3yNqzvk61oSgKNnVdMXTxAOBSlx4bJyWlWEnniCv72+mwnaxR5RSkPC1Kr83E0DbAM/DBRP4ydX8JevcXWHfFy3tHbz2+e3DemCWL+zk3mTnb0Jd9j0iXzmlEP46d/epG+ghNKQ8JlTDuHw6fklEz1gGuB8RkE0Nzf75q6yn1zBX77G1R3ycR3tJpyzoyACXHzsTA6dXsmGt95m/sHzOHz6xLyDVx0wDbCqPgI8smzZsk+N47MuGLmDn1zBX77G1R3yca2LhplYFmJGTTkDiSSlwQBbW7upizr/dF0gEOCImdVUJWqZM3PsG292OGAa4HzI5em0YuMnV/CXr3F1h3xcZ1ZHOGtxHaWx7ZT2t9IfrmXxlGnMrHavD9zJujUNsA0OlP60YuAnX+PqDvm4Nuzq4P9EO6gMd0BnE1SG6CypoGFXlHlTnLlKzcbJujXD0GwwZkxPD+EnV/CXr3F1h3xca4lRuWsV8uT/h6z6IfLk16nctYo63EsJ5mTdmitgGyQSiTHXWbVqFb/85S/p6+ujqqqKW265pQBm+2LH1Uv4yde4ukM+rhNiG5Hnfw6tm0AVRJDnf060biEw0znJDJys2wPmClhEzhOR2zo6OsZeOYvS0tLB915PypnpmolXE3OO5OtFjKs75OUaa4S2BtAEkLT+tjVAV6NDdvviaN0OF6V9f36NJyPGnj17Bt97PSlnpmsaLyfmHM7XqxhXd8jHNfHqg1Z2im9VavKbldbf6+s08eqDzglmMR5f/JiU0yuk8zxl48WknBs3btxnXS8n5hypbr2IcXWHvFxDETjyMgiWWoFsg6WpafdGgThZt6YP2AbxeHzY+atXr6auro6lS5fy6KOPcu2113Luuedy1VVX8Z3vfIdJkyaNe5tjpSXaunUr06dPH8woGwwGmTZtGlu3bmXp0qVD1p8/fz6NjY08//zzHHPMMdx5550AbNmyhbq6OgCuuOIK/vSnP6Gq/PGPfxy3d66MVLdexLjuRR0Mgp6Xa2kllFXD0oshGYdAyJourRx/mWPgZN2aBtgGodDQarrgggtQVTZu3MiDDz5IaWkp5557Ltu2bXNsm3bSEg3HcCm+J06cyD333MMXv/hFent7Ofvss6mqqqKkpGRwnXRf9ooVK/jyl788JKC7m2TXrZcxrhbqcBD0fFz3RKYxoWoWMtAF8V4IlaFVs9gTmU5+DwmPjJN1a8JR2iAWiw2O/ZszZw6PPvroYFLOK664wvGknDD2FfCePXuYP38+LS0tg0k5a2tr+de//sXcuXNHLbupqYnZs2fT0tIy7COgkUiEbdu2FSQxZ2bdeh3jauF0CMh8XJ95vZGlpbuIDuyEzh1QOY1YyVRe6p/MiQunjKvMsRiPrwlHmQednZ3Dzr/wwgsHc6ytXLmSG264wXaZY61///338+KLLw77ikQiQ5JyAoNJOUdKcNjYaN0VHi4x59atWwfXK3RizpHq1osYVwung6Dn4zqrNsqWTa+y56lbiP1zBXueuoUtm15lVq17/yidrFv//KbKk3yC8fT394+4bLiknBdffDE33XQTgUCA/v5+br75Zv75z3/y3//938yYMYN3v/vdrF69mqeffpqysjKuvvrqce3TcEk5066ZSTkBzybmHK1uvYZxtaiLhgkFZJ8r4PHGX8jHdWZgFzs23MfLu7pIJJVgoIu5ifuYdsQ7yEoh6RhO1u0B0wBrHsF4MvtV7STl/NrXvgZAVVUVW7ZsYePGjWzZsoVJkybxkY98hGOOOYaSkhJCodC4G18YPiln+mo2uw/Xq4k5h+uz9irG1WJWTTkXHD1jnz7g8QZBz8c11rKDlj3dlIdDaFKRgNCyp5vK1p1U1s4bd7mj4WTdHjANcD6kE2yORubQrUQiwfvf/35OOeWUwXmLFi3i+OOP53e/+x333Xcf5557btFcvYSffI2rhYhw+uJ65k+Z4MgoiHxcO0PVECiBZMZVaaCEzmAVbo2DcLJuPdcHLCKfE5E1ItInIstHWe9yEUmISCzjdbIbTnaeastMyvmFL3yB2267ja985StceeWVtLe3c99993HzzTfzxhtvcPjhh4+YxLMQrl7CT77GdS8iwuzaCo6eXcPs2oq8uqzycdXK2XQv+jA9caG7P2H9XfRhkpWzx13mWDhZt168At4B3ACcBYwVU+5ZVT3BbSE76eInT57Mo48+OjidvjmW5sILL+TCCy8cMi9zfadwIrV9IfGTr3F1h3xcVeD50mMJLZpClXbQLhOJl85iuou3MJysW881wKr6AICILANmFFkHoGA3pJzAT67gL1/j6g75uO6O9fPm7i5mVM+kOT6NcCjItt1d7I71M8ulUZRO1q3nGuAcOVJEmoFWYAXwXVXd5zEVEbkSuBJg2rRpxGIxenp66OrqAqC2tpa+vr7BnxbV1dUkEonB4SalpaW0t7cPPoJYWVlJMBgcDEsXjUYJh8O0tLQAUFFRQSQSGXzUNxKJEI1GaW5uRlUpKysjGo3S1tZGIpGgtLSUyspK2tvbicfjhEIhqqqq6OzspL+/n2AwSHV1NbFYjN7eXkSEurq6wf0AqKuro6enh+7ubhoaGsbcp6qqKoCi71MymaShoWHUfbJ7nNzep0QiQSwWc+Q4ub1P6fOgkOfeePeppKSEjo6OcR2ngfZuetqbaZFK6OumW5L0dCUol+ls27bNlX3q6emho6Mjp+M0Ep59EENEbgBmqOrlIyyfByiwGVgC3AOsUNXvjlbueB7EaGpqcvxBC7fwkyv4y9e4ukM+rltbYvz+pZ387Km3B7Mif/qkebx36VRmujQWeDy+eT+IISK1InKZiHwlNT1NRIrWRaCqb6vqJlVNquorwPXABW5sK/1f0Q/4yRX85Wtc3SEf161tvdz9zy3URUuZNjFCXbSUu/+5ha1t7vWBO1m3thpgETkJeAO4BPhGavYhwM8cM8kfxYqHZDAYDhD6E0n64klivXG6+uLEeuP0xZP0J5LFVrOF3Svgm4EPq+q7gXQf6z+AY50WEpGQiJQBQSAoImUisk9ftYicLSL1qfcLsf4xPOy0DzAYMcwP+MkV/OVrXPeiqmxu6WLt5lY2t3Tll9k4D9e5teXMrC4nfV9MBGZWlzOndnwPhdjBybq12wDPUdW/pN6na7ofd27iXQv0ANcAl6beXysis1JjfWel1jsNeFlEuoDHgQeAG13wOWB+zhUDP/kaVwtV5cnXmrj2oVe58fHXufahV3nytaZxN8L5uM6qreCqkw9i4dRKZtdVsHBqJVedfNC4ggLZxcm6tduAviYiZ6nqExnzTgdeccwkhapeB1w3wuJoxnpXA7af480nFkRXV1desX0LiZ9cwV++xtVic0sXdz7XwOyaChJJJRQU7nyugfn1UebU5X7jKx9XEeGMxfUscOipPDs4Wbd2G+AvAY+KyGNARET+FzgPON8RiwKQTywIg8Gwl21tXbxnyWSqK8vZ1dlHfWWY1s4KtrV1jasBzpf0U3luXvW6ha0GWFWfE5GlWDfh7gC2AseqqnMRyD1MIeLiOoWfXMFfvsbVorJEaC8NcVT8JSKyk97ENP5eupDKkvFddfqpXsFZX9vD0FR1u6p+T1U/q6o3HSiNL0Bf3/jinBYDP7mCv3yNq0UymeTswPPUSIwI/VQT4+zA8yST4xt54Kd6BWd9bV0Bi8gK9t58G4KqftQxG48Si8V8cwfcT67gL1/jarFYthLo3gH/vA3i/RAqJXDslSyeuBXIPQuFn+oVnPW1ewX8FrAx49UFnI31CLDBYDiACA20wfO/gI5tEGu0/j7/C2u+ISfs9gF/O3ueiNwOfMtxI5fIZxSEiQPrHn7yNa4punZD+zYrDm+a9m3Q1Tyu4vxUr+CdeMAvAic55OE6qvqIql45cWLuuVITiYQLRu7gJ1fwl69xTVFWCaXlkOjb+yoth/CEcRXnp3oFZ33tPop8atbrXGA58JpjJh7GJGN0Dz/5GtcUwQgs+QCUToBg2Pq75AMQKhtXcX6qVyhOUs7bs6a7sK6AL3LMxGAw+IP+bqieDQvOhmQcAiFresA/Twp6Bbt9wHPdFvEy6ViffsBPruAvX+OaoiwKL6yAaUsBgeSANX3OD8ZVnJ/qFZz1HbEBFhFb3ROq6o+wQwaDwRGSfV0EScKGP0IyCYEAROtJ9vd4L8mkxxmtvuLAwCiv9PL9nnSUez/gJ1fwl69xtYgRQQf6oGIyRCdDxWR0oI/YmCkch8dP9QrO+o7WBbFfdTvkMwzNYDDspa9iBp0LPkhk3b1IohcNltGz5EP0lk8vtprvGLEBVtXNhRRxm3yC8VRWVrpg5A5+cgV/+RpXi0kzD2Fn07HsiQcJJvpJBEsJTD6aqbMOGVd5fqpXcNbXdjxfEXkv1rjfOjIyTxwIjyIHg8FiK9jGT67gL1/jahEIBpm67FwaNx9CX0cj4YlTmDJ7AYFxbtNP9QrO+todB/wt4H9T618ItABnAe2OmXiYsTKbegk/uYK/fI3rXgLBINPmLWbukacybd7icTe+4K96BWd97d60/ARwhqp+EehP/T0PmOOYicFgMBxg2G2Aq1T11dT7fhEpUdV/4qNHkfMhGi18kOnx4idX8JevcXUHP7mCs752G+CNIrIk9f5V4NMichngm98OInKeiNzW0dGR82fD4bALRu7gJ1fwl68vXFWh9W3CzeugdZM17XF8Ua8ZOOlrtwG+FkiHgb8G+DzwfeA/HTNxmXyC8bS0tLhg5A5+cgV/+XreVZXk64/R/MBXeP0P/0vLA18m+fpjnm+EPV+vWTjpa/dR5Mcz3v8TMINpDQaPkWjeSO+uLdSceAWdmzZRPXcePY0bKavbSHCS+cp6EbujIB4SkQtFZHzhjnJARD4nImtEpE9Elo+x7hdFpFFEOkTkDhFx5bdMRYV/kv35yRX85et1157uXiJlQeTV+4k2/wt59X4iZUF6unuLrTYqXq/XbJz0tdsF8RTwZaBJRH4lImfZjRUxDnYAN2Al/xwRETkLqzvkNKzRGPOAfQLHO0EkMr5HLIuBn1zBX75edy0f2I3sfBlee5jIW4/Aaw8hO1+mfGB3sdVGxev1mo2TvnYD7vxYVY8FlgFvAzcDO0TkJ46Z7N3WA6r6ENZY49H4GHC7qq5T1TbgO8DlTvsANDePL9J/MfCTK/jL1/Ou3a3w2sNQMYnm8vlWrIbXHoYeb2cO83y9ZuGkr+0n4QBU9U3g2yLyENZNuM9i3ZArBkuAhzOmXwLqRaRWVYc03iJyJXAlwLRp04jFYvT09NDV1QVYaab7+vqIxWKAlXIkkUgMBl6OxWK0t7cPBuGorKwkGAwODsiORqOEw+HBzvmKigoikcjggYpEIkSjUZqbm1FVysrKiEajtLW1kUgkKC0tpbKykvb2duLxOKFQiKqqKjo7O+nv7ycYDFJdXU0sFqO3txcRoa6ubnA/AOrq6ujp6aGxsdHWPqVD6hV7n1pbW9PHaMR9snuc3N6nlpYW6urqHDlObuxTsjlGtHQmkc7NNDIZECLRWVT0xmndvNn1c2+8+9TZ2UlHR4cnv0/D7VNjY2POx2kkRG3eIRWRg7ACsF+E9Tjy/cDdqrrKVgE5IiI3ADNU9fIRlm8EPquqf0xNlwD9wFxVbRip3GXLlumaNWtycmlqaqK+vj6nzxQLP7mCv3y97prc8CfkgU9BbztN1FFPM5RVoR/4OYH5ZxZbb0S8Xq/ZjMdXRNaq6rLs+XZvwj0PvADMB64GpqnqZ91qfG0SAzKjYqTf73F6Q34aKO4nV/CXr+ddu9th4bkQriQaTEC40prubi+22ah4vl6zKMaDGD8ApqjqR1X1D6rqhSx664ClGdNLgabs7gcn8FMflZ9cwV++nnetqIGG1XDwGTTPfDccfIY1Xe7trMOer9csnPS1exPuHlUtSMInEQmlhrsFgaCIlInIcH3VvwY+KSKLRaQa62GR5W442e2m8QJ+cgV/+XrddaB0MnrsJ2Hjn9Gt/7D+HvtJBsLe/nnv9XrNxklfL2YQuRbowRpidmnq/bUiMktEYiIyCyDV9/s94G/A5tTrW24IlZW5PvzZMfzkCv7y9bprrDdGIlGCvv/nhN95Ffr+n5NIlBDrjRVbbVS8Xq/ZOOmb0yiIQqCq1wHXjbB4SOeLqv4I+JGdcvPJiOGnPio/uYK/fL3uui08n9n6MmUP/wel/dBfCr3v+ALbwvMH4wh4Ea/XazbF6AP2PfnEgvBTvFI/uYK/fL3uWj2hjN8HzmDdCbew4bCrWXfCLfw+cAbVE7x9hen1es3GSd/RsiLPs1OAqr7tmI1HSSS8cM/RHn5yBX/5et11Zk0FM2sreGbbTLp7Q5R3TWXpjApm1nj7UV+v12s2TvqO1gXxFqBY6Ycye52zp/2VT2QclJaWFlvBNn5yBX/5et1VRDh5YT3zJk/grYYkB8+ZzqyackRk7A8XEa/XazZO+o6WlHOwe0JEPg6cjtU3uxmYDXwT+ItjJh7GT0kD/eQK/vL1g6uIMLu2gtrwDKJRb1/5pvFDvWbipK/dPuDvAFeo6puq2p96JPnfsILm7PekHy/0A35yBX/5Gld38JMrOOtrtwEOsG/+t9kcAN0PAPF4vNgKtvGTK/jL17i6g59cwVlfu8PQfgz8VUR+CWwFZmJFHvuxYyYuk88wtFDIc6P1RsRPruAvX+PqDn5yBWd97T4J933g40A98F5gCvAJVf2eYyYuk88wtHSkIz/gJ1fwl69xdQc/uYKzvrab8tSTZ390bMs+orOz0zeDxf3kCv7yNa7u4CdXcNbXbjS0sIj8l4i8LSIdqXlnisjnHLHwOP39/cVWsI2fXMFfvsbVHfzkCs762r0J92PgUOAS9o4BXgd82jETDxMM+udeo59cwV++xtUd/OQKzvra7YJ4P3CwqnaJSBJAVbeLyHTHTDxMdbW3w/ll4idX8JevcXUHP7mCs752r4D7yWqsRWQSY+dt8wwicp6I3NbR0ZHzZ9OpVfyAn1zBX77G1R385ArO+tptgO8DfiUicwFEZCpwC/Bbx0xcJp9REL293k7rnYmfXMFfvsbVHfzkCs762m2Avw40AK8AVcCbWOnjr3fMxMN4/Vn6TPzkCv7yNa7u4CdXcNbXVh+wqvYD/wH8R6rroVn9FsY+D+rq6oqtYBs/uYK/fI2rO/jJFZz1tTsMrTX9XlV3pxtfEdnlmImH8VMflZ9cwV++xtUd/OQKxekDLsmekUoD76/xI+Okp6cg6fAcwU+u4C9f4+oOfnIFZ31H7YIQkWewxv2WicjTWYtnAH93zMRl8okFYfAvmkzSvuNN+juaKJ1YT9W0Q5BA4RPBqCpbWrtpjvVRFw37Ik6vwX3G6gP+BVYA9mOA2zPmK9AE/NUlL8dR1UeAR5YtW/apXD/rpz4qP7mCu76aTNL28mOUNr1IaKAXKYnQ1ryU6sPfk1MjHIvFkO1rmLB7M119m9HpR+f0KKqqsr2pibqO16nv3E6idwbbBxYwvb7etUbYT+eBn1zBWd9RG2BV/RWAiDynqq87tlWf0dPT45tn1f3kCu76tm/bwIRoLaHIsdC5AyqnEw5Gad+2gepZC22VEYvFiLz+IIGW1+nq7KO8602Se7YQW/h+297Nu/cwZcvjBF+6GwZiUBolfPhFNAcuYNJkd4KR++k88JMrOOtr9zLgMyLyzswZIvJOEbnZEYuh5daIyIMi0iUim0Xk4hHWu1xEEqlU9enXyU77AHR1dblRrCv4yRXc9S0vKSHU8iq89iBsXg2vPUio5VXKS/e5pTEipbvXEdi9Dl68i67X/wYv3klg9zpKd6+zXUZlbB3BhtVw1GWw9BI46qMEG1ZTGbNfRq746Tzwkys462v3UeSLgKuz5q0FHsIanuYk/4P15F09cATwmIi8pKrDna3PquoJDm/fsJ9Q0rUVdr8Bm/8OiX4IlkJJOSW184GDbJUR6mmGl++BeJ81I94HL99DaPaJ9j0GYjDzGNixFhJxCJbAzGOs+YYDGrsNsLLv1XJwmHl5ISIVwAeBQ1U1BqwSkd8DlwHXOLmtXKitrS3WpnPGT67gsm9fJ2z8M7RvAVUQsabnnmS/jHgPJPpgoIta3QnSZd0VSeRwJzwYhJYN8OJdEO+HUCkceRlMmp/zLtnFT+eBn1zBWV+7DfAzwA0i8hVVTYpIACtB5zOOmVjMBxKquiFj3kvASN+YI0WkGWgFVgDfVdV98oWIyJXAlQDTpk0jFovR09Mz+FOitraWvr6+wfF91dXVJBIJOjs7AUgmkyQSicFcUJWVlQSDQdra2gCIRqOEw2FaWqzQGBUVFUQiEZqbmwGIRCJEo1Gam5tRVcrKyohGo7S1tZFIJCgtLaWyspL29nbi8TihUIiqqio6Ozvp7+8nGAxSXV1NLBajt7cXEaGurm5wP8C6MdDT08OOHTuYOHHimPuUDipd7H3atm0bkUhk1H2ye5yy9yna0UmorZU2poNAlC7CbS00N7YQqGiwtU/lGqY9vIBE/266CTOLnbSH5zPQlqR02zZbx6mzqZHeF/4KycnU0UpPooyuF/6KVhzJpPo9rhynt99+m4kTJxb03BvvcUokEiSTSU9+n4bbp46ODubMmZPTcRoJsfNAm4jMAB4FpmJlRZ4F7ATOU9VtYxZgExE5EbhPVadkzPsUcImqnpy17jysK/PNwBLgHmCFqn53tG0sW7ZM16xZk5NXQ0MDc+bMyekzxcJPruCub/LVB5FH/wN62/fOLKtCz72ZwKHvt1fGi/cgW1bDxr/S0F/NnNI2OOhUdNbxBI74sM0yfos89GkgmTE3gL7/ZwSWfsTu7uSEn84DP7nC+HxFZK2qLsuebzcl0TbgKOB9wPdTf492svFNEQOybwtXAnuGcXpbVTepalJVX8GKS3GBwz4GP1NWBYvPt/6WlGdM5xCQqaIONj0NM5ZB/aHW301PW/PtMmEa1M5l79ctYE1XTLVfhmG/JJeUREngWRddADYAIRE5RFXfTM1bihX8fSwUq3fOcfwUr9RPruCu7+7oEibVb0AGuiGZgEAQrV/CruihTBn74wC0TjiMmmM+iTzzI6oHglCSQE/8T1onHIbdJri9YiFVx1yJrPkFDPRCSRm67Arao4uoGe/OjYGfzgM/uYKzviM2wCKyXlUXpd5vZW8mjCGo6iynZFIB3x8ArheRK7BGQZwPvDN7XRE5G3hBVZtEZCHwDaywmY6TSCTcKNYV/OQK7vpOrKpkQ8/5zK+amxoHPI0NpYczp8r+2NvyyijbZl7IjPctIL5zMzp1NtvKD6eu0v440IrqiezifUyunjfosWvi4VRX5x4a1S5+Og/85ArO+o52BZz5xNiljm1xbD4D3AHswgr4/mlVXScis4DXgMWqugU4DVguIlGsp/J+A9zohlBnZyc1NW5dqziLn1zBXd+ysjLmTK3iqYYj2JlcwFSNcNzUSsrKymyXUV5eTh3wVNcRbOyu5CCdx/+pjVJeXm67jHA4THV1NU+17/V4Z/VEwuHwOPbKHn46D/zkCs76jtgAq+qqjPdPObI1G6hqK1Yfc/b8LUA0Y/pq9h2bbDAMoaysjFMW2m9wh6O8vJxTFpYzt6ybOXMmj6uMcDjMKQvH91nD/stoXRC2gq2r6jed03GPfILxpIeY+AE/uYK/fI2rO/jJFZz1Ha0LYmbG+zKsBySeZ+8wtGOB3zlm4jL5BOMxGAwGNxhxGJqqfjz9whpdcJGqHq+qF6ce/3VnAKMHSQ+u9gN+cgV/+RpXd/CTKzjra/dR4rOx4j5k8jBwjmMmBoPBcIBhtwF+C/hs1rzPABud1fEmlZXuhAx0Az+5gr98jas7+MkVnPW1+yDGFcCDIvIVYDswHYgDH3DMxMMEg/7JvOQnV/CXr3F1Bz+5grO+dh9F/hdwCFZYyh8BFwOHqOoLjpm4jIicJyK3dXR05PzZsQJqeAk/uYK/fI2rO/jJFZz1HVc4SVV9GihNhY/0Bar6iKpeOXGie08fGQwGQy7YTUt/GFachp+zNzfcSVhPrO33+Cldip9cwV++xtUd/OQKzvravQL+GfBNVV0IDKTmPQUcENko3Hxk1Gn85Ar+8jWu7uAnV3DW124DvAQr1gKkgvKoahcQcczEw6QDQ/sBP7mCv3yNqzv4yRWc9bXbADcAR2fOEJFjsYanGQwGg2Ec2G2Av4GVHPPbWDffvoYV+vFa18wcJp9REBUVvrnX6CtX8JevcXUHP7mCs752h6E9ivU03CSsvt/ZwAdU9U+OmbhMPqMgIhH/9LT4yRX85Wtc3cFPruCs75gNsIgERWQjsE5VP6Oq71HVq1R1rWMWHiedDNAP+MkV/OVrXN3BT67grO+YDbCqJoAEVkQ0g8FgMDiE3UeRbwbuFZEbgW1kpCdS1bdd8PIUfvqJ5CdX8JevcXUHP7mCs752G+BbUn/PyJqvgL8e5B4Hfhoo7idX8JevcXUHP7lCER7EUNXACC/fNL75jILwUx+Vn1zBX77G1R385ArO+o56BSwi5VhDzQ4FXgC+q6p9jm29gOSTEUN12ITQnsRPruAvX+Nq0dnZya5duxgYGBh7ZRvE43HWr1/vSFmFYDjfkpISJk+enHOoyrG6IG4BjgH+AFwA1AL/ntMW9gNyyaJbbPzkCv7yNa5W49vU1MT06dOJRCKISN5lDgwMUFJS4oBdYcj2VVV6enrYvn07kFu84LG6IM4GzlTVr6Ten5uzbY6ISI2IPCgiXSKyWUQuHmXdL4pIo4h0iMgdIuLKQ+V+6qPykyv4y9e4wq5du5g+fTrl5eWONL4AgcC4gjIWjWxfEaG8vJzp06eza9eu3MoaY3mFqu4EUNWtQCFiOf4P0A/UA5cAPxORJdkrichZwDXAacAcYB7wbTeE/BSv1E+u4C9f42pd/Tk9aiGRSDhantuM5BuJRHLulhmrCyIkIqdgJeUcbhpV/WtOWxyFVHzhDwKHqmoMWCUivwcuw2psM/kYcLuqrkt99jvAncOslzd+OkH85Ar+8jWuFk5d+abxU986jOw7nnoZqwHexdCYvy1Z04p15ekU84GEqm7ImPcSVuzhbJZgJQbNXK9eRGpVdUi4IhG5ErgSYNq0acRiMXp6eujq6gKgtraWvr4+YrEYANXV1SQSCTo7OwHo6+ujvb19MBtqZWUlwWBw8CojGo0SDocHoyRVVFQQiUQG75ZGIhGi0SjNzc2oKmVlZUSjUdra2kgkEpSWllJZWUl7ezvxeJxQKERVVRWdnZ309/cTDAaprq4mFovR29uLiFBXVze4HwB1dXX09PQMbnOsfaqqqgIo+j7t2bOHhoaGUffJ7nFye586OjqIxWKOHCev7FOu5148HieRSJBMJkkmkwCEQqFRp9MpfNL/FLKnk8nkYLlg/cQPBALE4/GcphOJBKqKiBAMBseczmUfMqfj8fiI+xSPx2loaNjnOI2EeOm/j4icCNynqlMy5n0KuERVT85adyPwWVX9Y2q6BKvrYq6qNoy0jWXLlumaNWty8orFYr7p//OTK/jL17jC+vXrWbRokaNlJhIJz+SFu+qqq5g+fTrf+MY3RlxnNN+R6kdE1qrqsuz5Xuv9jgHZtxArgT021k2/H27dvEhfffgBP7mCv3yNqzs42V0yZ84c/vznP4/787feeuuojS846+u1BngDVj/zIRnzlgLrhll3XWpZ5npN2d0PTpD+qeMH/OQK/vI1ru5QqF/hTtWJk76eaoBTWTYeAK4XkQoROR44H1gxzOq/Bj4pIotFpBrrgZHlbniFQnaf2C4+fnIFf/ka1/xQVTa3dLF2cyubW7oGGzKnbupddtllbNmyhfPOO49oNMr3vvc9RITbb7+dWbNmceqppwJw4YUXMmXKFCZOnMi73vUu1q3be313+eWXc+21VpjzlStXMmPGDH74wx8yefJkpk6dyi9/+UtHb0J6qgFO8RmsVEe7gLuBT6vqOhGZJSIxEZkFkOr7/R7wN2Bz6vUtN4TSN0L8gJ9cwV++xnX8qCp/fq2JGx9bz0//tpEbH1vPn19rQlUd6/9dsWIFs2bN4pFHHiEWi/GhD30IgKeeeor169fzxBNPAHD22Wfz5ptvsmvXLo466iguueSSEctsbGyko6OD7du3c/vtt/PZz3528AapE3iuAVbVVlV9n6pWqOosVb0rNX+LqkZVdUvGuj9S1XpVrVTVj7v1mLSTFe42fnIFf/ka1/GzpbWb+9duI560rnrjSeX+tdvY0trt+vC+6667bnB0CMAnPvEJJkyYQDgc5rrrruOll15ipBgxJSUlfPOb36SkpIRzzjmHaDTq6GPTnmuA3SKfYDz9/f0uGLmDn1zBX77Gdfw0x/oGG9808aTSHOtzvQ945syZg+8TiQTXXHMNBx10EJWVlcyZM8fyGyHATm1t7ZDunPLycvbsce4+/wHTAOeTksgrQ2Ts4CdX8JevcR0/ddEwocDQvtNQQKiLhh3tUx2urMx5d911Fw8//DB//vOf6ejooKGhAcjtxtr+3gfsOaqrq4utYBs/uYK/fI3r+JlVU84FR88YbIRDAeGCo2cwq6bc0X8W9fX1vP32yDki9uzZQzgcpra2lu7ubr7+9a/nvA0nY1eYBtgG6aeU/ICfXMFfvsZ1/IgIpy+u5+vvWcRnTjmIr79nEacvrkdEBp82c4Kvfe1r3HDDDVRVVXH//ffvs/yjH/0os2fPZvr06SxevJh3vOMdOW/DyS4TTz0JVwjG8yRcQ0PDYF+R1/GTK/jL17i68yRcX18f4bArgQxdYTRfvz8J50mcDj7iJn5yBX/5GleD0xwwDXA+oyDq6upcMHIHP7mCv3yNqzt48aGR0XDS94BpgPMZBeG1/rTR8JMr+MvXuLqDk33AhcBJ3wOmAc6HdChBP+AnV/CXr3F1B9MAGwwGg6HgmAbYBn7qT/OTK/jL17i6g+kDNoyKn37O+ckV/OVrXN3BdEEcAOQzCiKdPsYP5Os6UshAtziQ6raQ+Mn1QG6A/XXtnweq+gjwyLJlyz5VbBc3UFW2tHbzRmMnMqGLWTW5pw1XVf72ehNrt7TT058gUhrk6FlVnLKw3owrNRhc4IC5As6H2traYiuMSmas1d+92jEk1moubGnpYvVbLSxf3cCK5zazfHUDq99qYUuLe1dTXq/bTIyrOzjZp5pvSiKA5cuXc8IJJ4y43PQBF4j0z/EXNu1y9ed4vj/7M2OtisaHxFrNhbebu/nt81vpT1g/sfoTSX77/Fbebs6tnFzo63MlhLMrGFd3OJC7IEwDPAKZV5X3/P3NcV9V5rKd7EwBdsmMtRpMWF+8dKzVXOjqi1NdEeI/l5Vww9HdfGlZKdUVIbr6nM8vNvhP560dBelrdgI/PdzgSVdVaH0btvwDWjdZ0zjXoA2Xkui5557jne98J1VVVSxdupSVK1cOrr98+XLmzZvHhAkTmDt3LnfeeSfr16/nqquu4tlnnyUajQ6bWcT0AReALa3d3Ld2G3v64pT0xRkIxrlv7TbmT5nA7NoKR7fz1OtNvGt+HbG+BBPCIZ56vSmn7aRjrWYGvE7HWs2FebURfnDYTqKv34smBpBgCUcc9iEm1B6dUzljoaqs3tAE7VvQXZvYFuhja/NMjp9v+pr3W1ThjT/Ai3dCMg6BEBxxCSw427FNrFixgmeeeYZf/OIXnH766Wzfvp3DDz+cFStW8O53v5u//OUvfPCDH+T111+nvLycz3/+8zz//PMsWLCAnTt30trayqJFi7j11lv5xS9+wapVqxxzG4kDpgEWkfOA8w4++GBb6zfH+hBNcsqCSXTtCTNhQiXPb2qhOdbnaAPc0d3HIVMm0L97I7WJdmKhag6ZMoeO7j6wuZ1ZNeV87LgZhGPb6W/tJ1wTpDc6jVk15Tm51AzspHLnE1QcfDglyT4GAmV07XyC0KKjAefiy25v7aK+6Snia39Dab8wYaMSOvpStte9hxm1Uce24zRei7E7Gp5zbdu0t/EF6++Ld8LkhQQrZ7myyd/85jecc845nHPOOQCcccYZLFu2jMcff5wLLriAQCDAq6++yqxZs5g6dSpTp061Va6T8YsPmC6IXGNBhINwxXEzuLy+gUsr1vLR+s1ccdwMwg4nGojHkxzU9gzz/vV/qf3XLcx94SYOanuGeNz+z5z4wABzO9aysOcF5vS/yYKefzG3Yy3xgYHcZLpamDzjYCbGm6mItzMx3szkGQejXS057tXoJNsaKH3lLqaWdDMt3M200m5KX7mLZFuDo9txGrdzlzmJ51xju/c2vmmScWu+S2zevJn77ruPqqqqwdeqVavYuXMnFRUV3HPPPdx6661MnTqV97znPbz++uuuuYzEAXMFnCvl0s/i9j8iu14l1g51Xes5elIDDRXnOLqdsq5tRHavZf55n0B629BINRv+9Xe0aylg72mm5m0bmRRvJKC9NPX1UU8P4Xgju7dtZOo8+7FbJ4SFkugkmL4UupqRikmUdGynMuxst0Bpz25qoiFCc95Na0svE+oiRDY9S2uPe19GJ+js7KSmpqbYGrbwnGt0stXtkNkIB0IQnUQikXBsZEFmF9bMmTO57LLL+PnPfz7sumeddRZnnXUWPT09XHvttXzqU5/imWeeGbMbzElfzzTAIlID3A6cCTQDX0tnRB5m3ctT62Y+7nOuqq50ymdm71vI7tfg5XshXgehZmTpR5hZOx+Y4tRmqAv1Ubf4UGTNL6A/hpRGWXD4h2gO2b+BVp1sJYAiyTiSTCLJBIGAUp1szcmlLCAgwN9ugHgfhMJw9Ces+Q4SjZQROuhdyLO3IH0TkXAHoeM+RzTin6DchhypnmP1+Wb3AVfPBQcTiGamJLr00ks55phjeOKJJzj99NMZGBjgueee4+CDD6akpIR//OMfnHbaaUQiEaLR6GDXQn19Pdu2baO/v5/S0lLH3IbDS10Q/wP0A/XAJcDPRGTJKOs/m0pTn36tdFIm2NsCG/4EtfOoqqqG2nmw4U/WfAepKxlA1v4Kml6x7hA3vYKs/RV1Jfa7D0pJIH2t8PefUPXar2H1zUhfK6Xk9jNUkr2w9nbrDnXHduvv2tut+Q4S0V7k7z+B/j1UaTv070H+/hMi6u2hU8PdEfcqnnMVsW64nfkdOOE/rb8LzgYRR/tUM1MS3XPPPTz88MPceOONTJo0iZkzZ/L973+fZDJJMpnkhz/8IdOmTaOmpoannnqKn/70pwCceuqpLFmyhClTpgwbU8NJX09cAYtIBfBB4FBVjQGrROT3wGXANUWRSiqURKBlIyQrINAFlTPA6dFSXTugbaN1xYkCYk137bRfRrwLnrsVBrpBJ1h/n7sVzj8sR5cm6GqFSQutq5RgCDp2QPeu3MoZA4nthP4uiPcAJZDoAQXpanR0OwaPIQI186yXS5x//vmcf/75Q+Y99dRTw6470vzS0lIee+wxx92GwytXwPOBhKpuyJj3EjDaFfCRItIsIhtE5Bsi4uw/k7Ko1SD1x2iPl0B/zJouzW1kwZgESiCZZG/LrtZ0IIfd6WmFgS6I99KeCEO815ruacvNJVIDldNg93pofgN2rbemww7fUS+vIb2/7VSmZipEqpzdjsO0t7cXW8E2fnL13A3DMXDS1xNXwEAUyI6S0wFMGGH9p4FDgc1YjfQ9QBz47nAri8iVwJUA06ZNIxaL0dPTMxiwpLa2lr6+vsHB69XV1Qzs3sWeaefDpqeIJUtoD9TSPu08dNsOqupaCQaDtLVZDVw0GiUcDtPSYnVPVFRUEIlEaG5uBhjsY2pubkZVKSsrIxqN0tbWxkBLP+GDPkLlWw/RnogQD0YIzXsXE+MBYjt20N/fTzAYpLq6mlgsRm9vLyJCXV3d4H4k95QwSSP0UE4jk6x90m5642V0NzQM7lMikaCzsxPY+xM1/UWtrKxEepK0Vx4Lzd1EtZ2wQEvlsWhzFxN277a9T4lEgtLSUiorK2lvbycejxMKhaiqqqKzs5Pe7c2EDv0c1S//gtZkFQRKkCUfpLazi+6mpsFIXnV1dWMep7H2yanjlEgkaGlpoa6ubth9snOcCrlPjY2NeR+n4fYpHo+TSCQGf8aD9WjuaNPpn+zphit7OpFIDJYLVtr3QCBAPB7PaTqRSKCqSKpbY6zpXPYhc3pgYGDEfYrH4zQ0NOxznEaiIFmRRWQlcNIIi1cD/w6sVtXyjM98CThZVc+zUf5HgC+r6phPDNjNipx89QHkD9fAnHfS2l9CTekANPwdPfsmAod+YMzP2yW5/o/IltWwZ7s1WF0EJkxHZx1PYNG77ZXxysPI7ldg9U9oTZRRE+yF4z+PTjqMwGHnj11Aupy1v0L+8m2Y+y6su3EKm55GT7uOwNEfHd8ODredN/6I/P0WmPcuWmN91ETD8PbT6HGfJbDQuYH5TtPa2uqtkQWj4JarG1mR0w2/XxjNN9esyAXZa1U9ebTlqT7gkIgcoqpvpmYvBdbZ3QRWi+Ec4SpY8G546W6CiVII9sPSiyCce065UQmVAmKVmxywuiQQCJXYL6O0DDY/B++6mmB3H5RbDRrTj8nNJToZ+rth3cMZfmGomJRbOWNRMhHmnQT/+hXB/hIoHYAjPwalDtetwzh588Vt3HRNX0UahjKei1lP/NtR1S4ReQC4XkSuAI4AzgfeOdz6InI28IKqNonIQuAbwH1OOiWD5QRrF8ChF9LWGWBiZRJqF5AMVjjacd4VmUa0cio0NkEiDsEBqJtPV2T6iP0v2cTLp1Ay7xT413La+qqYGG6HIy8nHplCLoNokuE6gid9BZ76v1Y/cqgMTvoKyXCdo/ucDFYQnDAVjr2Ktl2dTJxcCWVVjtet07S1tTGepK7FwC3XkpISenp6KC937l6Ik+NqC8FIvj09PZSU5HDhhEca4BSfAe4AdgEtwKdVdR2AiMwCXgMWq+oW4DRguYhEgSbgN8CNTsrsKl/AlMhGpP5QkE6YXImWTWRX+QKmObid7rIZMOEQKiLVSI/1IEZXqI7ushm2G+D+6oMIVm8k8I7PQVM71FeRLJ9Ef81BOTXA65nNkujbyDk/gN4OKJuISinrZTY5jqcYlQ4ppzpci5TXQOdmqJmNJoR2Kmw+emIoFpMnT2b79u1Mnz6dSCRiroSxrnx7enrYvn079fX1OX3WMw2wqrYC7xth2RasG3Xp6auBq930mVpfxSvdpzF/YB2Rvk301c5lQ8kSDquvcnQ7k2sr2Nh3KOzZRXxgF6GyyTBhMgflEG8iGo0Sm3cmsn0NpT2b6K6ei05fRjSaW1yFRTNqeLLjnRxT8ibhhNBXNo3nBw7htBnO9iVWT59L86tvU9XfRnkowUDPHtoD1dTNmOvodpwm1/osJm65VlZao1Z27NjBQK6Puo9AIpHwVffOcL4lJSXU19cP1o9dCnITzgtkBOP51Jtvvjnm+rA3y8S2XS3MmFw7riwTuWynOdZHXTSc13b27NnDhAl2r533JR6P8+ymVna29zK1qozj5ta48vMwmUjQuPkN2po2U10/mymzFxDw+Jcw37otJMbVPcbjW9SbcF5gPCmJRITZtRXont2ORkAbaTtObKOlpSWvkzkUCnHiIZPz9hiLQDDItHmL6Q+UM23OHNe35wT51m0hMa7u4aSvl+95GAwGw36NaYBtUFHh3tWv0/jJFfzla1zdwU+u4KyvaYBtEIlEiq1gGz+5gr98jas7+MkVnPU9YG7CpRGR3ViPMGcykX0fhc6kDitE5miMVcZYy51axwlXO+s4tT9j+Raq3pxwdWo7+5OrnXUOhHN2tqru+0STqh7wL+C2MZavcaCMUZc7tY4TrgXen1F9C1hvebsWqt785GpzOwfcOZt+mS4Ii0cKUIadbTi1TiG24ydXO+s44erUdvYnV7vrFGI7XnIFDsAuiPEgImt0mDF8XsRPruAvX+PqDn5yBWd9zRWwPW4rtkAO+MkV/OVrXN3BT67goK+5AjYYDIYiYa6ADQaDoUiYBthgMBiKhGmADQaDoUiYBngYRORzIrJGRPpEZLmN9b8oIo0i0iEid4hIuACa6W3XiMiDItIlIptF5OJR1r1cRBIiEst4newhv6LVYy6uxajHYRxsn6MeqFdbrh6p17CI3J46/ntE5F+pBBAjrZ9X3ZoGeHh2ADdgBYgfFRE5C7gGK0j8HGAe8G035bL4H6AfqAcuAX4mIqNlk35WVaMZr5Ve8PNAPUJudVnoeszG1jnqkXq1/X2i+PUaArZi5bCciJVt514RmZO9oiN1a/eJjQPxhXXSLB9jnbuAGzOmTwMaC+RXgdVgzM+YtwK4aYT1LwdWFbD+bPsVsx7H4VrQehzDe9RztNj1mqOrZ+o1y+tl4INu1K25As6fJcBLGdMvAfUiUluAbc8HEqq6IWv7o10BHykizSKyQUS+ISJuxoTOxa+Y9Qi512Uh6zEfil2vueKpehWReqxzY7gEwXnXrWmA8yfK0MAb6feFiDCdve309kfa9tPAocBk4IPARcCXXbPLza+Y9Tjc9tMOw22/0PWYD8Wu11zwVL2KSAlwJ/ArVX19mFXyrtsDrgEWkZUioiO8Vo2jyBiQmQgq/X5PAVyzt53e/rDbVtW3VXWTqiZV9RXgeuCCfD1HIRc/1+rRJrZdi1CP+VDserWNl+pVRAJYXVD9wOdGWC3vuj3gGmBVPVlVZYTXCeMoch2wNGN6KdCkqi0FcN0AhETkkKztD/dzadhNAG6mtc3Fz7V6tEk+del2PeZDses1H4pSryIiwO1YN2M/qKojZR/Nu24PuAbYDiISEpEyIAgERaRslL6oXwOfFJHFIlINXAssL4SnqnYBDwDXi0iFiBwPnI/1n3sfROTsVJ8WIrIQ6w7vwx7xK1o95upa6HocjhzO0aLWK9h39UK9pvgZsAg4T1V7Rlkv/7ot9h1GL76A67D++2a+rkstm4X102NWxvr/CTQBncAvgXABXWuAh4AuYAtwccayIa7AD1KeXcDbWD/xSorh57V6zMW1GPVo9xz1aL3acvVIvc5O+fWm3NKvS9yoWxOMx2AwGIqE6YIwGAyGImEaYIPBYCgSpgE2GAyGImEaYIPBYCgSpgE2GAyGImEaYIPBYCgSpgE2GMZARK4Tkd+4UO5yEbnB6XIN/sE0wAbPk4qJ0WY32HUqsPd44noYDAXFNMAGT5MKhH0i1tNJ7y2ujcHgLKYBNnidjwLPYT1j/7HMBSIyU0QeEJHdItIiIreIyCLgVuC4VEqb9tS6K0XkiozPDrlKFpH/JyJbRaRTRNaKyIl25ERkvYicmzEdSsWzPSo1fV9GypqnR8qwMdxVeyrq3cGp92ER+YGIbBGRJhG5VUQidhwN3sU0wAav81GsmKx3AmdlBGsJAo8Cm7HSwUwHfquq64Gr2Jvapsrmdp4HjsCKB3EXcF8qgMxY3I0VtzbNWUCzqr6Qmv4DcAhWjNsXUvsxHv4vVmDwI4CDsfb3m+Msy+ARTANs8CwicgJWcJR7VXUtsBFIJ8o8FpgGfFlVu1S1V1XH3e+rqr9R1RZVjavqD4EwsMDGR+8C3isi5anpi1Pz0uXeoap7VLUPKwDNUhGZmItbKjzip4Avqmqrqu4BbgQ+kks5Bu9hGmCDl/kY8CdVbU5N38XeboiZwGZVjTuxIRH5Uqo7oSPVbTERqBvrc6r6FrAeOC/VCL835YmIBEXkJhHZKCKdQEPqY2OWm8UkoBxYKyLtKb8/puYbfIxX81gZDnBS/Zsfwoof25iaHQaqRGQpVubaWSISGqYRHi7EXxdWI5ZmSsa2TgS+ipVUcZ2qJkWkDfvBwNPdEAHgtVSjDNbV8PnA6ViN70RgpHKH+InIlIxlzUAPsERVt9t0MvgAcwVs8CrvAxLAYqx+zyOwgmQ/g9Uv/E9gJ3BTKoB6WSqIOljxWWeISGlGeS8CHxCR8tSNrU9mLJsAxIHdWFkxvsm+6YlG47fAmcCnyeh+SJXbB7RgNa43jlLGS8ASETki1fd8XXqBqiaBnwM/FpHJACIyXay06AYfYxpgg1f5GPBLVd2iqo3pF3ALVnBsAc7DuiG1BdgGfDj12b9ipYtpFJF098WPsfJ7NQG/YujNsCewbpZtwLqp14t1hW0LVd0JPAu8E7gnY9GvU+VtB17DGs0xUhkbsAKQ/xl4E8juz/4q8BbwXKo748/Y66M2eBgTkN1gMBiKhLkCNhgMhiJhGmCDwWAoEqYBNhgMhiJhGmCDwWAoEqYBNhgMhiJhGmCDwWAoEqYBNhgMhiJhGmCDwWAoEv8//7ZBbmr0178AAAAASUVORK5CYII=\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "i = 6\n", "plot_regression_report(\n", " trained_ML_model = train_cnn_model.trained_model,\n", " trained_DataProcessor = data_processor,\n", " Xtrain = [data_processor.X_train_standardized_rowwise[::i],\n", " data_processor.X_train_standardized_columnwise[::i]],\n", "\n", " Xtest = [data_processor.X_test_standardized_rowwise[::i], \n", " data_processor.X_test_standardized_columnwise[::i]],\n", "\n", " ytrain = data_processor.y_train_standardized_columnwise[::i],\n", "\n", " ytest = data_processor.y_test_standardized_columnwise[::i],\n", "\n", " target_i = 4,\n", "\n", " xy_top = [0.05, 0.7],\n", " xy_bottom= [0.05, 0.85],\n", " __reference_data__ = __reference_data_path__,\n", " __print_results__ = False, \n", " __save_plots__ = True\n", " )" ] }, { "cell_type": "markdown", "id": "fde8b2bd-c963-498a-8b6e-b642a3592e88", "metadata": {}, "source": [ "---" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.5" } }, "nbformat": 4, "nbformat_minor": 5 }