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Build a desicion tree from a spreadsheet.ipynb
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| function onOpen() { | |
| var ui = SpreadsheetApp.getUi(); | |
| ui.createMenu("🔮 Predictions for cell") | |
| .addItem('🌸 Iris', 'predict_on_row') | |
| .addToUi(); | |
| } | |
| const output_column_number = 5 | |
| function predict_on_row() { | |
| var spreadsheet = SpreadsheetApp.getActive(); | |
| const row_number = spreadsheet.getActiveCell().getRowIndex() | |
| const values = spreadsheet.getActiveRange().getValues() | |
| Logger.log(values) | |
| const prediction = CloudFunction(values[0]) | |
| spreadsheet.getActiveSheet().getRange(row_number, output_column_number).setValue(prediction) | |
| } | |
| function CloudFunction(values) { | |
| const payload = JSON.stringify( | |
| { | |
| "input":values | |
| } | |
| ); | |
| const url = "YOUR CLOUD FUNCTION URL"; | |
| const response = UrlFetchApp.fetch(url, { | |
| method: 'POST', | |
| contentType: 'application/json', | |
| payload: payload, | |
| muteHttpExceptions: true | |
| }).getContentText(); | |
| Logger.log(response) | |
| const json_resp = JSON.parse(response) | |
| Logger.log(json_resp) | |
| return json_resp.prediction | |
| } |
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "metadata": { | |
| "colab": { | |
| "provenance": [], | |
| "name": "Build a desicion tree from a spreadsheet.ipynb", | |
| "include_colab_link": true | |
| }, | |
| "kernelspec": { | |
| "name": "python3", | |
| "display_name": "Python 3" | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/ZackAkil/6b4f5da352accb62decc6c07a645bab1/decision-tree-production.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "# Build a desicion tree from a spreadsheet\n" | |
| ], | |
| "metadata": { | |
| "id": "5XDUPkEongDP" | |
| } | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "## 1. Make sure you have the columns named and that the last column is the one you want to predict. This can be numbers or categories. " | |
| ], | |
| "metadata": { | |
| "id": "lyoQgrXspKnc" | |
| } | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "" | |
| ], | |
| "metadata": { | |
| "id": "L8K0QcvnpAyx" | |
| } | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "## 2. Export the spreadsheet as a CSV (comma separated values) file:" | |
| ], | |
| "metadata": { | |
| "id": "eeO0RhW7pyMB" | |
| } | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "\n", | |
| "\n", | |
| "" | |
| ], | |
| "metadata": { | |
| "id": "ehKXWcklpbqS" | |
| } | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "source": [ | |
| "## 3. In the side pannel of this Colab Notebook: upload the file and use it's file name in the code below: " | |
| ], | |
| "metadata": { | |
| "id": "X-gZ0fytp6QE" | |
| } | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# change this to your files name when you upload it\n", | |
| "FILE_NAME = \"iris dataset - Sheet1.csv\"" | |
| ], | |
| "metadata": { | |
| "id": "R56pPmrPqK8C" | |
| }, | |
| "execution_count": 19, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# import the data and view it\n", | |
| "\n", | |
| "import pandas as pd\n", | |
| "\n", | |
| "data = pd.read_csv(FILE_NAME)\n", | |
| "data" | |
| ], | |
| "metadata": { | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 423 | |
| }, | |
| "id": "vPtjSghXeNcF", | |
| "outputId": "cbe91029-5970-47ec-de0f-8ff1d72a558b" | |
| }, | |
| "execution_count": 20, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| " sepal.length sepal.width petal.length petal.width variety\n", | |
| "0 5.1 3.5 1.4 0.2 Setosa\n", | |
| "1 4.9 3.0 1.4 0.2 Setosa\n", | |
| "2 4.7 3.2 1.3 0.2 Setosa\n", | |
| "3 4.6 3.1 1.5 0.2 Setosa\n", | |
| "4 5.0 3.6 1.4 0.2 Setosa\n", | |
| ".. ... ... ... ... ...\n", | |
| "145 6.7 3.0 5.2 2.3 Virginica\n", | |
| "146 6.3 2.5 5.0 1.9 Virginica\n", | |
| "147 6.5 3.0 5.2 2.0 Virginica\n", | |
| "148 6.2 3.4 5.4 2.3 Virginica\n", | |
| "149 5.9 3.0 5.1 1.8 Virginica\n", | |
| "\n", | |
| "[150 rows x 5 columns]" | |
| ], | |
| "text/html": [ | |
| "\n", | |
| " <div id=\"df-caff6032-3704-4ca6-95fb-ad2996b7810e\">\n", | |
| " <div class=\"colab-df-container\">\n", | |
| " <div>\n", | |
| "<style scoped>\n", | |
| " .dataframe tbody tr th:only-of-type {\n", | |
| " vertical-align: middle;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe tbody tr th {\n", | |
| " vertical-align: top;\n", | |
| " }\n", | |
| "\n", | |
| " .dataframe thead th {\n", | |
| " text-align: right;\n", | |
| " }\n", | |
| "</style>\n", | |
| "<table border=\"1\" class=\"dataframe\">\n", | |
| " <thead>\n", | |
| " <tr style=\"text-align: right;\">\n", | |
| " <th></th>\n", | |
| " <th>sepal.length</th>\n", | |
| " <th>sepal.width</th>\n", | |
| " <th>petal.length</th>\n", | |
| " <th>petal.width</th>\n", | |
| " <th>variety</th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " <tr>\n", | |
| " <th>0</th>\n", | |
| " <td>5.1</td>\n", | |
| " <td>3.5</td>\n", | |
| " <td>1.4</td>\n", | |
| " <td>0.2</td>\n", | |
| " <td>Setosa</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>1</th>\n", | |
| " <td>4.9</td>\n", | |
| " <td>3.0</td>\n", | |
| " <td>1.4</td>\n", | |
| " <td>0.2</td>\n", | |
| " <td>Setosa</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>2</th>\n", | |
| " <td>4.7</td>\n", | |
| " <td>3.2</td>\n", | |
| " <td>1.3</td>\n", | |
| " <td>0.2</td>\n", | |
| " <td>Setosa</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>3</th>\n", | |
| " <td>4.6</td>\n", | |
| " <td>3.1</td>\n", | |
| " <td>1.5</td>\n", | |
| " <td>0.2</td>\n", | |
| " <td>Setosa</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>4</th>\n", | |
| " <td>5.0</td>\n", | |
| " <td>3.6</td>\n", | |
| " <td>1.4</td>\n", | |
| " <td>0.2</td>\n", | |
| " <td>Setosa</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>...</th>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " <td>...</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>145</th>\n", | |
| " <td>6.7</td>\n", | |
| " <td>3.0</td>\n", | |
| " <td>5.2</td>\n", | |
| " <td>2.3</td>\n", | |
| " <td>Virginica</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>146</th>\n", | |
| " <td>6.3</td>\n", | |
| " <td>2.5</td>\n", | |
| " <td>5.0</td>\n", | |
| " <td>1.9</td>\n", | |
| " <td>Virginica</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>147</th>\n", | |
| " <td>6.5</td>\n", | |
| " <td>3.0</td>\n", | |
| " <td>5.2</td>\n", | |
| " <td>2.0</td>\n", | |
| " <td>Virginica</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>148</th>\n", | |
| " <td>6.2</td>\n", | |
| " <td>3.4</td>\n", | |
| " <td>5.4</td>\n", | |
| " <td>2.3</td>\n", | |
| " <td>Virginica</td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th>149</th>\n", | |
| " <td>5.9</td>\n", | |
| " <td>3.0</td>\n", | |
| " <td>5.1</td>\n", | |
| " <td>1.8</td>\n", | |
| " <td>Virginica</td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| "</table>\n", | |
| "<p>150 rows × 5 columns</p>\n", | |
| "</div>\n", | |
| " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-caff6032-3704-4ca6-95fb-ad2996b7810e')\"\n", | |
| " title=\"Convert this dataframe to an interactive table.\"\n", | |
| " style=\"display:none;\">\n", | |
| " \n", | |
| " <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n", | |
| " width=\"24px\">\n", | |
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| " <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n", | |
| " </svg>\n", | |
| " </button>\n", | |
| " \n", | |
| " <style>\n", | |
| " .colab-df-container {\n", | |
| " display:flex;\n", | |
| " flex-wrap:wrap;\n", | |
| " gap: 12px;\n", | |
| " }\n", | |
| "\n", | |
| " .colab-df-convert {\n", | |
| " background-color: #E8F0FE;\n", | |
| " border: none;\n", | |
| " border-radius: 50%;\n", | |
| " cursor: pointer;\n", | |
| " display: none;\n", | |
| " fill: #1967D2;\n", | |
| " height: 32px;\n", | |
| " padding: 0 0 0 0;\n", | |
| " width: 32px;\n", | |
| " }\n", | |
| "\n", | |
| " .colab-df-convert:hover {\n", | |
| " background-color: #E2EBFA;\n", | |
| " box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n", | |
| " fill: #174EA6;\n", | |
| " }\n", | |
| "\n", | |
| " [theme=dark] .colab-df-convert {\n", | |
| " background-color: #3B4455;\n", | |
| " fill: #D2E3FC;\n", | |
| " }\n", | |
| "\n", | |
| " [theme=dark] .colab-df-convert:hover {\n", | |
| " background-color: #434B5C;\n", | |
| " box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n", | |
| " filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n", | |
| " fill: #FFFFFF;\n", | |
| " }\n", | |
| " </style>\n", | |
| "\n", | |
| " <script>\n", | |
| " const buttonEl =\n", | |
| " document.querySelector('#df-caff6032-3704-4ca6-95fb-ad2996b7810e button.colab-df-convert');\n", | |
| " buttonEl.style.display =\n", | |
| " google.colab.kernel.accessAllowed ? 'block' : 'none';\n", | |
| "\n", | |
| " async function convertToInteractive(key) {\n", | |
| " const element = document.querySelector('#df-caff6032-3704-4ca6-95fb-ad2996b7810e');\n", | |
| " const dataTable =\n", | |
| " await google.colab.kernel.invokeFunction('convertToInteractive',\n", | |
| " [key], {});\n", | |
| " if (!dataTable) return;\n", | |
| "\n", | |
| " const docLinkHtml = 'Like what you see? Visit the ' +\n", | |
| " '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n", | |
| " + ' to learn more about interactive tables.';\n", | |
| " element.innerHTML = '';\n", | |
| " dataTable['output_type'] = 'display_data';\n", | |
| " await google.colab.output.renderOutput(dataTable, element);\n", | |
| " const docLink = document.createElement('div');\n", | |
| " docLink.innerHTML = docLinkHtml;\n", | |
| " element.appendChild(docLink);\n", | |
| " }\n", | |
| " </script>\n", | |
| " </div>\n", | |
| " </div>\n", | |
| " " | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 20 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "source": [ | |
| "# create our input data X (the predictors) and output data y (the thing we want to predict) variables\n", | |
| "\n", | |
| "X = data.drop('variety', axis = 1)\n", | |
| "y = data['variety']" | |
| ], | |
| "metadata": { | |
| "id": "aoUI8tqjgfCv" | |
| }, | |
| "execution_count": 7, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "4GFxn6WPgymp" | |
| }, | |
| "source": [ | |
| "# import desicion tree package\n", | |
| "from sklearn import tree" | |
| ], | |
| "execution_count": 8, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "OGa0MZ33g5SR", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "outputId": "e34a6d46-7f7e-4908-ef3e-1b38411978a2" | |
| }, | |
| "source": [ | |
| "# create the model , you can play around the max_depth value\n", | |
| "model = tree.DecisionTreeClassifier(max_depth=2)\n", | |
| "\n", | |
| "# train the model\n", | |
| "model.fit(X, y)" | |
| ], | |
| "execution_count": 9, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "DecisionTreeClassifier(max_depth=2)" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 9 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "IFbeOwTphrKK", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/" | |
| }, | |
| "outputId": "a7a61b47-9600-4a93-9589-b88de368d28f" | |
| }, | |
| "source": [ | |
| "# see performance\n", | |
| "model.score(X, y)" | |
| ], | |
| "execution_count": 10, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "0.96" | |
| ] | |
| }, | |
| "metadata": {}, | |
| "execution_count": 10 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "Alh7Hl0QhRRV", | |
| "colab": { | |
| "base_uri": "https://localhost:8080/", | |
| "height": 575 | |
| }, | |
| "outputId": "f2834fb2-0217-47e7-f93a-cd98193b767c" | |
| }, | |
| "source": [ | |
| "# display decision tree\n", | |
| "\n", | |
| "import matplotlib.pyplot as plt\n", | |
| "\n", | |
| "plt.figure(figsize=(15, 10))\n", | |
| "tree.plot_tree(model, \n", | |
| " feature_names=X.columns, \n", | |
| " class_names=y.unique())\n", | |
| "plt.show()" | |
| ], | |
| "execution_count": 17, | |
| "outputs": [ | |
| { | |
| "output_type": "display_data", | |
| "data": { | |
| "text/plain": [ | |
| "<Figure size 1080x720 with 1 Axes>" | |
| ], | |
| "image/png": 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\n" | |
| }, | |
| "metadata": { | |
| "needs_background": "light" | |
| } | |
| } | |
| ] | |
| } | |
| ] | |
| } |
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