{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = [14, 9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import datasets\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.linear_model import SGDClassifier\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "\n",
    "logistic = SGDClassifier(loss='log', penalty='l2', early_stopping=True,\n",
    "                         max_iter=10000, tol=1e-5, random_state=0)\n",
    "pca = PCA()\n",
    "pipe = Pipeline(steps=[('pca', pca), ('logistic', logistic)])\n",
    "\n",
    "digits = datasets.load_digits()\n",
    "X_digits = digits.data\n",
    "y_digits = digits.target\n",
    "\n",
    "# Parameters of pipelines can be set using ‘__’ separated parameter names:\n",
    "param_grid = {\n",
    "    'pca__n_components': [5, 20, 30, 40, 50, 64],\n",
    "    'logistic__alpha': np.logspace(-4, 4, 5),\n",
    "    'logistic__max_iter': [10000, 5000]\n",
    "}\n",
    "search = GridSearchCV(pipe, param_grid, cv=5, iid=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(cv=5, error_score='raise-deprecating',\n",
       "             estimator=Pipeline(memory=None,\n",
       "                                steps=[('pca',\n",
       "                                        PCA(copy=True, iterated_power='auto',\n",
       "                                            n_components=None,\n",
       "                                            random_state=None,\n",
       "                                            svd_solver='auto', tol=0.0,\n",
       "                                            whiten=False)),\n",
       "                                       ('logistic',\n",
       "                                        SGDClassifier(alpha=0.0001,\n",
       "                                                      average=False,\n",
       "                                                      class_weight=None,\n",
       "                                                      early_stopping=True,\n",
       "                                                      epsilon=0.1, eta0=0.0,\n",
       "                                                      fit_intercept=True,\n",
       "                                                      l1_ratio=0....\n",
       "                                                      random_state=0,\n",
       "                                                      shuffle=True, tol=1e-05,\n",
       "                                                      validation_fraction=0.1,\n",
       "                                                      verbose=0,\n",
       "                                                      warm_start=False))],\n",
       "                                verbose=False),\n",
       "             iid=False, n_jobs=None,\n",
       "             param_grid={'logistic__alpha': array([1.e-04, 1.e-02, 1.e+00, 1.e+02, 1.e+04]),\n",
       "                         'logistic__max_iter': [10000, 5000],\n",
       "                         'pca__n_components': [5, 20, 30, 40, 50, 64]},\n",
       "             pre_dispatch='2*n_jobs', refit=True, return_train_score=False,\n",
       "             scoring=None, verbose=0)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "search.fit(X_digits, y_digits)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn_plot_api import plot_grid_search\n",
    "viz = plot_grid_search(search, ['pca__n_components', 'logistic__alpha'], include_values=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adjust cmap (with plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn_plot_api.grid_search.GridSearchViz at 0x1a2772bc88>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "viz.plot(cmap='plasma', include_values=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adjust cmap directly "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x648 with 2 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "viz.im_.set_cmap('magma')\n",
    "viz.figure_"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "root *",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}