{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# ValidationResult - Attributes\n\nThis example demonstrates the basic attributes of the ValidationResults object.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Installation\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# To install the required package, use the following command:\n# !pip install modeva"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Authentication\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# To get authentication, use the following command: (To get full access please replace the token to your own token)\n# from modeva.utils.authenticate import authenticate\n# authenticate(auth_code='eaaa4301-b140-484c-8e93-f9f633c8bacb')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Imports\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from modeva import DataSet"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Load and prepare data\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "ds = DataSet()\nds.load(name=\"BikeSharing\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Generate results\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "result = ds.eda_correlation(features=('hr',\n                                      'season',\n                                      'hum',\n                                      'temp',\n                                      'atemp',\n                                      'holiday'),\n                            dataset=\"main\", method=\"pearson\", sample_size=10000)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Attributes\nNote that not all the attributes are used for a single test result.\nIn this example, only key, data, table, and options are specified.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "print(result.__doc__)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Attributes - key\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "result.key"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Attributes - data\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "result.data"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Attributes - table\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "result.table"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Attributes - options\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "result.options"
      ]
    }
  ],
  "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": "3.11.11"
    }
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  "nbformat": 4,
  "nbformat_minor": 0
}