63_preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Preprocessing](https://scikit-learn.org/stable/modules/preprocessing.html)\n",
    "\n",
    "### [Standard Scaling](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html#sklearn.preprocessing.StandardScaler)\n",
    "\n",
    "- Many Scikit-learn estimators behave badly if features are normally distributed (Gaussian with zero mean and unit variance) data.\n",
    "\n",
    "- We often ignore the shape of the distribution and simply center the data by removing the mean value of each feature, then scale it by dividing non-constant features by their standard deviation.\n",
    "\n",
    "- `StandardScaler` is a quick and easy way to standardize an array-like dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "from sklearn import preprocessing\n",
    "import numpy as np\n",
    "X_train = np.array([[ 1., -1.,  2.],\n",
    "                    [ 2.,  0.,  0.],\n",
    "                    [ 0.,  1., -1.]])\n",
    "\n",
    "scaler = preprocessing.StandardScaler().fit(X_train)\n",
    "print(scaler,\"\\n\",scaler.mean_,\"\\n\",scaler.scale_)\n",
    "\n",
    "X_scaled = scaler.transform(X_train)\n",
    "print(X_scaled)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- scaled data has zero mean & unit variance."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0. 0. 0.]\n",
      "[1. 1. 1.]\n"
     ]
    }
   ],
   "source": [
    "print(X_scaled.mean(axis=0))\n",
    "print(X_scaled.std(axis=0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- This class implements the Transformer API to compute the mean and standard deviation on a training set, then re-apply the same transformation on the testing set. This class is hence suitable for use in the early steps of a Pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.96"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.datasets import make_classification\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "X, y = make_classification(random_state=42)\n",
    "X_train, X_test, y_train, y_test = train_test_split(\n",
    "    X, y, random_state=42)\n",
    "\n",
    "pipe = make_pipeline(StandardScaler(), \n",
    "                     LogisticRegression()).fit(X_train, \n",
    "                                               y_train)\n",
    "\n",
    "pipe.score(X_test, y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Min-Max Scaling](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html#sklearn.preprocessing.MinMaxScaler) and [Max Abs Scaling](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html#sklearn.preprocessing.MaxAbsScaler)\n",
    "\n",
    "- Another method is to scale between a min & max value (often 0-1), or so that a max absolute value of each feature is scaled to unit size.\n",
    "\n",
    "- This provides robustness to very small standard deviations of features and preserving zero entries in sparse data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.5       , 0.        , 1.        ],\n",
       "       [1.        , 0.5       , 0.33333333],\n",
       "       [0.        , 1.        , 0.        ]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train = np.array([[ 1., -1.,  2.],\n",
    "                    [ 2.,  0.,  0.],\n",
    "                    [ 0.,  1., -1.]])\n",
    "\n",
    "min_max_scaler = preprocessing.MinMaxScaler()\n",
    "X_train_minmax = min_max_scaler.fit_transform(X_train)\n",
    "X_train_minmax"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- The transformer instance can then be applied to new test data unseen during the fit: the same scaling and shifting operations will be applied to be consistent with the transformation performed on the training data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1.5       ,  0.        ,  1.66666667]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test = np.array([[-3., -1.,  4.]])\n",
    "X_test_minmax = min_max_scaler.transform(X_test)\n",
    "X_test_minmax"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Viewing the scaler attributes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.5        0.5        0.33333333]\n",
      "[0.         0.5        0.33333333]\n"
     ]
    }
   ],
   "source": [
    "print(min_max_scaler.scale_)\n",
    "print(min_max_scaler.min_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [MaxAbsScaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html#sklearn.preprocessing.MaxAbsScaler) scales such that training data lies within [-1,+1] by dividing through the largest max value in each feature. It is meant for data already centered at zero, or sparse data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "X_train = np.array([[ 1., -1.,  2.],\n",
    "                    [ 2.,  0.,  0.],\n",
    "                    [ 0.,  1., -1.]])\n",
    "\n",
    "max_abs_scaler = preprocessing.MaxAbsScaler()\n",
    "X_train_maxabs = max_abs_scaler.fit_transform(X_train)\n",
    "print(X_train_maxabs)\n",
    "\n",
    "X_test        = np.array([[ -3., -1.,  4.]])\n",
    "X_test_maxabs = max_abs_scaler.transform(X_test)\n",
    "print(X_test_maxabs)\n",
    "\n",
    "print(max_abs_scaler.scale_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scaling sparse data\n",
    "\n",
    "- Centering sparse data destroys the sparseness - it is rarely is a sensible thing to do. However, it can make help if features are on different scales.\n",
    "\n",
    "- `MaxAbsScaler` was designed for scaling sparse data. `StandardScaler` can also accept `scipy.sparse` matrix inputs (as long as `with_mean=False` is used). Otherwise a `ValueError` will be raised - silently centering would break the sparsity and can crash execution by allocating too much memory unintentionally. `RobustScaler` cannot be fitted to sparse inputs, but you can use the `transform` method on sparse inputs.\n",
    "\n",
    "- Scalers accept both CSR and CSC format (see `scipy.sparse.csr_matrix` and `scipy.sparse.csc_matrix`). Any other sparse input will be converted to the CSR format. Choose the CSR or CSC representation upstream to avoid unnecessary memory copies.\n",
    "\n",
    "- If the centered data is expected to be small, explicitly converting the input to an array using `toarray` of sparse matrices is another option."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scaling with outliers with [Robust Scaler](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html#sklearn.preprocessing.RobustScaler)\n",
    "\n",
    "- If your data contains many outliers, mean/variance scaling probably will not work very well - use `RobustScaler` as a drop-in replacement. It uses more robust estimates for the center and range of your data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0. , -2. ,  0. ],\n",
       "       [-1. ,  0. ,  0.4],\n",
       "       [ 1. ,  0. , -1.6]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import RobustScaler\n",
    "X = [[ 1., -2.,  2.],\n",
    "     [ -2.,  1.,  3.],\n",
    "     [ 4.,  1., -2.]]\n",
    "transformer = RobustScaler().fit(X)\n",
    "transformer.transform(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scaling kernel matrices with [KernelCenterer](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KernelCenterer.html#sklearn.preprocessing.KernelCenterer)\n",
    "\n",
    "- If you have a matrix of a kernel $K$ that computes a dot product in a feature space defined by function $\\phi$, `KernelCenterer` can transform the matrix so that it contains inner products in the feature space defined by $\\phi$ followed by removal of the mean in that space."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[  9.   2.  -2.]\n",
      " [  2.  14. -13.]\n",
      " [ -2. -13.  21.]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[  5.,   0.,  -5.],\n",
       "       [  0.,  14., -14.],\n",
       "       [ -5., -14.,  19.]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import KernelCenterer\n",
    "from sklearn.metrics.pairwise import pairwise_kernels\n",
    "\n",
    "X = [[ 1., -2.,  2.],\n",
    "     [ -2.,  1.,  3.],\n",
    "     [ 4.,  1., -2.]]\n",
    "K = pairwise_kernels(X, metric='linear'); print(K)\n",
    "\n",
    "transformer = KernelCenterer().fit(K)\n",
    "transformer\n",
    "\n",
    "transformer.transform(K)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Quantile Transforms](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html#sklearn.preprocessing.QuantileTransformer)\n",
    "\n",
    "- Puts all features into the same distribution based on $G^{-1}(F(X))$ where $F$ is a *cumulative distribution function*, $G$ the desired output distribution, and $G^{-1}$ is the quantile function of the output function.\n",
    "\n",
    "- It computes a rank transformation, which smooths out unusual distributions & is more robust to outliers.\n",
    "\n",
    "- It does, however, distort correlations & distances within/across features.\n",
    "\n",
    "### Quantile Mapping to a Uniform [0..1] Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/bjpcjp/.local/lib/python3.8/site-packages/sklearn/preprocessing/_data.py:2612: UserWarning: n_quantiles (1000) is greater than the total number of samples (112). n_quantiles is set to n_samples.\n",
      "  warnings.warn(\"n_quantiles (%s) is greater than the total number \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([4.3, 5.1, 5.8, 6.5, 7.9])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "from sklearn.model_selection import train_test_split as TTS\n",
    "from sklearn.preprocessing import QuantileTransformer as QT\n",
    "\n",
    "X, y = load_iris(return_X_y=True)\n",
    "X_train, X_test, y_train, y_test = TTS(X, y, random_state=0)\n",
    "\n",
    "qt            = QT(random_state=0)\n",
    "X_train_trans = qt.fit_transform(X_train)\n",
    "X_test_trans  = qt.transform(X_test)\n",
    "np.percentile(X_train[:, 0], [0, 25, 50, 75, 100])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Power Mapping](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html#sklearn.preprocessing.PowerTransformer) to a Gaussian Distribution\n",
    "\n",
    "- Power transforms are a family of parametric, monotonic transformations that map data from any distribution to an approximated Gaussian to stabilize variance and minimize skewness.\n",
    "\n",
    "- Two transforms are available:\n",
    "\n",
    "    - *Yeo-Johnson*: $\\begin{split}x_i^{(\\lambda)} =\n",
    "\\begin{cases}\n",
    " [(x_i + 1)^\\lambda - 1] / \\lambda & \\text{if } \\lambda \\neq 0, x_i \\geq 0, \\\\[8pt]\n",
    "\\ln{(x_i + 1)} & \\text{if } \\lambda = 0, x_i \\geq 0 \\\\[8pt]\n",
    "-[(-x_i + 1)^{2 - \\lambda} - 1] / (2 - \\lambda) & \\text{if } \\lambda \\neq 2, x_i < 0, \\\\[8pt]\n",
    " - \\ln (- x_i + 1) & \\text{if } \\lambda = 2, x_i < 0\n",
    "\\end{cases}\\end{split}$\n",
    "\n",
    "    - *Box-Cox*: $\\begin{split}x_i^{(\\lambda)} =\n",
    "\\begin{cases}\n",
    "\\dfrac{x_i^\\lambda - 1}{\\lambda} & \\text{if } \\lambda \\neq 0, \\\\[8pt]\n",
    "\\ln{(x_i)} & \\text{if } \\lambda = 0,\n",
    "\\end{cases}\\end{split}$\n",
    "\n",
    "- Box-Cox can only be applied to positive data.\n",
    "\n",
    "- Both transforms are controlled via $\\lambda$, which is found via *max likelihood estimation*."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Example: Map data to Normal Distributions (Box-Cox, Yeo-Johnson)](https://scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html)\n",
    "\n",
    "- Power transforms are useful when [homoscedasticity](https://en.wikipedia.org/wiki/Homoscedasticity) & normality are needed.\n",
    "\n",
    "- Below: Cox-Box & Yeo-Johnson transforms applied to *lognormal*, *chi-squared*, *weibull*, *gaussian*, *uniform* and *bimodal* distributions.\n",
    "\n",
    "- Success depends on the dataset. Highlights importance of before/after visualization.\n",
    "\n",
    "- Quantile Transformer forces any arbitrary distribution into a Gaussian *if enough samples are available*. It is prone to *overfitting* on small datasets - consider using a power transform instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.preprocessing import PowerTransformer as PT\n",
    "from sklearn.preprocessing import QuantileTransformer as QT\n",
    "from sklearn.model_selection import train_test_split as TTS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# n_quantiles is set to the training set size rather than the default value\n",
    "# to avoid a warning being raised by this example\n",
    "\n",
    "N_SAMPLES = 1000\n",
    "FONT_SIZE = 9\n",
    "BINS      = 30\n",
    "rng       = np.random.RandomState(304)\n",
    "bc        = PT(method='box-cox')\n",
    "yj        = PT(method='yeo-johnson')\n",
    "qt        = QT(n_quantiles=500, \n",
    "               output_distribution='normal',\n",
    "               random_state=rng)\n",
    "size      = (N_SAMPLES, 1)\n",
    "\n",
    "# distributions\n",
    "X_lognormal = rng.lognormal(      size=size)\n",
    "X_chisq     = rng.chisquare(df=3, size=size)\n",
    "X_weibull   = rng.weibull(  a=50, size=size)\n",
    "X_gaussian  = rng.normal(loc=100, size=size)\n",
    "X_uniform   = rng.uniform(low=0, high=1, size=size)\n",
    "X_a, X_b    = rng.normal(loc=100, size=size), rng.normal(loc=105, size=size)\n",
    "X_bimodal   = np.concatenate([X_a, X_b], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1440 with 24 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "distributions = [\n",
    "    ('Lognormal', X_lognormal),\n",
    "    ('Chi-squared', X_chisq),\n",
    "    ('Weibull', X_weibull),\n",
    "    ('Gaussian', X_gaussian),\n",
    "    ('Uniform', X_uniform),\n",
    "    ('Bimodal', X_bimodal)\n",
    "]\n",
    "\n",
    "colors = ['#D81B60', '#0188FF', '#FFC107',\n",
    "          '#B7A2FF', '#000000', '#2EC5AC']\n",
    "\n",
    "#fig, axes = plt.subplots(nrows=8, ncols=3, figsize=plt.figaspect(2))\n",
    "fig, axes = plt.subplots(nrows=8, ncols=3, figsize=(10,20))\n",
    "axes = axes.flatten()\n",
    "axes_idxs = [(0, 3, 6, 9), (1, 4, 7, 10), (2, 5, 8, 11), (12, 15, 18, 21),\n",
    "             (13, 16, 19, 22), (14, 17, 20, 23)]\n",
    "axes_list = [(axes[i], axes[j], axes[k], axes[l])\n",
    "             for (i, j, k, l) in axes_idxs]\n",
    "\n",
    "for distribution, color, axes in zip(distributions, colors, axes_list):\n",
    "    name, X = distribution\n",
    "    X_train, X_test = TTS(X, test_size=.5)\n",
    "\n",
    "    # perform power transforms and quantile transform\n",
    "    X_trans_bc = bc.fit(X_train).transform(X_test)\n",
    "    X_trans_yj = yj.fit(X_train).transform(X_test)\n",
    "    X_trans_qt = qt.fit(X_train).transform(X_test)\n",
    "\n",
    "    lmbda_bc = round(bc.lambdas_[0], 2)\n",
    "    lmbda_yj = round(yj.lambdas_[0], 2)\n",
    "\n",
    "    ax_original, ax_bc, ax_yj, ax_qt = axes\n",
    "    ax_original.hist(X_train, color=color, bins=BINS)\n",
    "    ax_original.set_title(name, fontsize=FONT_SIZE)\n",
    "    ax_original.tick_params(axis='both', which='major', labelsize=FONT_SIZE)\n",
    "\n",
    "    for ax, X_trans, meth_name, lmbda in zip(\n",
    "            (ax_bc, ax_yj, ax_qt),\n",
    "            (X_trans_bc, X_trans_yj, X_trans_qt),\n",
    "            ('Box-Cox', 'Yeo-Johnson', 'Quantile transform'),\n",
    "            (lmbda_bc, lmbda_yj, None)):\n",
    "        ax.hist(X_trans, color=color, bins=BINS)\n",
    "        title = 'After {}'.format(meth_name)\n",
    "        if lmbda is not None:\n",
    "            title += r'\\n$\\lambda$ = {}'.format(lmbda)\n",
    "        ax.set_title(title, fontsize=FONT_SIZE)\n",
    "        ax.tick_params(axis='both', which='major', labelsize=FONT_SIZE)\n",
    "        ax.set_xlim([-3.5, 3.5])\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- [Quantile Transformer](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html#sklearn.preprocessing.QuantileTransformer) can also map data to a normal distribution with `output_distribution='normal'`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      " [107.50478648]\n",
      " [107.6271605 ]\n",
      " [107.79680694]]\n"
     ]
    }
   ],
   "source": [
    "qt = QT(output_distribution='normal', \n",
    "        random_state=0)\n",
    "X_trans = qt.fit_transform(X)\n",
    "\n",
    "print(qt.quantiles_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Normalization](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html#sklearn.preprocessing.Normalizer)\n",
    "\n",
    "- Defined as the process of scaling individual samples to have *unit norm*. This is useful when you use a quadratic method (ex: dot-product) to measure the similarity of any sample pair.\n",
    "\n",
    "- `normalize` transforms an array using `l1`, 'l2` or 'max` norms.\n",
    "\n",
    "- `Normalizer` does the same using the `Transformer` API - it is therefore useful in pipelines.\n",
    "\n",
    "- Both accept dense & sparse matrix inputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.40824829 -0.40824829  0.81649658]\n",
      " [ 1.          0.          0.        ]\n",
      " [ 0.          0.70710678 -0.70710678]] \n",
      "\n",
      "[[-0.70710678  0.70710678  0.        ]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import normalize as Norm, Normalizer as Normlzr\n",
    "\n",
    "X = [[ 1., -1.,  2.],\n",
    "     [ 2.,  0.,  0.],\n",
    "     [ 0.,  1., -1.]]\n",
    "\n",
    "X_normalized = Norm(X, norm='l2')\n",
    "print(X_normalized,\"\\n\")\n",
    "\n",
    "normalizer   = Normlzr().fit(X) # fit does nothing\n",
    "normalizer.transform(X)\n",
    "print(normalizer.transform([[-1.0, 1.0, 0.0]]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Categories to Integers](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html#sklearn.preprocessing.OrdinalEncoder)\n",
    "\n",
    "- Use `OrdinalEncoder` to transform category names to 0-*n_categories-1*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 1., 1.]])"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enc = preprocessing.OrdinalEncoder()\n",
    "X = [['male',   'from US',     'uses Safari'], \n",
    "     ['female', 'from Europe', 'uses Firefox']]\n",
    "enc.fit(X)\n",
    "\n",
    "enc.transform([['female', 'from US', 'uses Safari']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Categories to one-of-K (\"One Hot\")](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html#sklearn.preprocessing.OneHotEncoder)\n",
    "\n",
    "- use `OneHotEncoder` to transform category names into `n_category` binary features with one equal to 1, the rest equal to 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0., 1., 0., 1.],\n",
       "       [0., 1., 1., 0., 0., 1.]])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enc = preprocessing.OneHotEncoder()\n",
    "X = [['male',   'from US',     'uses Safari'], \n",
    "     ['female', 'from Europe', 'uses Firefox']]\n",
    "enc.fit(X)\n",
    "\n",
    "enc.transform([['female', 'from US', 'uses Safari'],\n",
    "               ['male', 'from Europe', 'uses Safari']]).toarray()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Feature values are inferred automatically from the dataset.\n",
    "- They can also be specified using `categories`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array(['female', 'male'], dtype=object),\n",
       " array(['from Europe', 'from US'], dtype=object),\n",
       " array(['uses Firefox', 'uses Safari'], dtype=object)]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enc.categories_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0., 1., 0., 0., 1., 0., 0., 0.]])"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "genders   = ['female',      'male']\n",
    "locations = ['from Africa', 'from Asia',    'from Europe', 'from US']\n",
    "browsers  = ['uses Chrome', 'uses Firefox', 'uses IE',     'uses Safari']\n",
    "\n",
    "enc = preprocessing.OneHotEncoder(categories=[genders, locations, browsers])\n",
    "\n",
    "# Note: missing categorical values for the 2nd and 3rd feature\n",
    "X = [['male',   'from US',     'uses Safari'], \n",
    "     ['female', 'from Europe', 'uses Firefox']]\n",
    "\n",
    "enc.fit(X).transform([['female', 'from Asia', 'uses Chrome']]).toarray()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- If the training data has missing category features, it's better to specify `handle_unknown='ignore'` instead of manually setting categories.\n",
    "\n",
    "- In this approach, unknown categories will be coded with all zeroes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "enc = preprocessing.OneHotEncoder(handle_unknown='ignore')\n",
    "X = [['male', 'from US', 'uses Safari'], \n",
    "     ['female', 'from Europe', 'uses Firefox']]\n",
    "\n",
    "enc.fit(X).transform([['female', 'from Asia', 'uses Chrome']]).toarray()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- `drop` allows encoding columns into `n_categories-1` columns by specifying a category for each feature to be dropped.\n",
    "\n",
    "- This helps avoid input matrix co-linearity. This is useful for example when using *Linear Regression* - co-linearity can cause a covariance matrix to be non-invertible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array(['female', 'male'], dtype=object), array(['from Europe', 'from US'], dtype=object), array(['uses Firefox', 'uses Safari'], dtype=object)]\n",
      "[[1. 1. 1.]\n",
      " [0. 0. 0.]]\n"
     ]
    }
   ],
   "source": [
    "X = [['male', 'from US', 'uses Safari'],\n",
    "     ['female', 'from Europe', 'uses Firefox']]\n",
    "\n",
    "drop_enc = preprocessing.OneHotEncoder(drop='first').fit(X)\n",
    "print(drop_enc.categories_)\n",
    "print(drop_enc.transform(X).toarray())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use `drop='if_binary'` if you want to drop columns for features with 2 categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array(['female', 'male'], dtype=object), array(['Asia', 'Europe', 'US'], dtype=object), array(['Chrome', 'Firefox', 'Safari'], dtype=object)]\n",
      "[[1. 0. 0. 1. 0. 0. 1.]\n",
      " [0. 0. 1. 0. 0. 1. 0.]\n",
      " [0. 1. 0. 0. 1. 0. 0.]]\n"
     ]
    }
   ],
   "source": [
    "X = [['male', 'US', 'Safari'],\n",
    "     ['female', 'Europe', 'Firefox'],\n",
    "     ['female', 'Asia', 'Chrome']]\n",
    "\n",
    "drop_enc = preprocessing.OneHotEncoder(drop='if_binary').fit(X)\n",
    "print(drop_enc.categories_)\n",
    "print(drop_enc.transform(X).toarray())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- `OneHotEncoder` supports missing values by considering them as an additional category:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array(['female', 'male', nan], dtype=object), array(['Firefox', 'Safari', None], dtype=object)]\n",
      "[[0. 1. 0. 0. 1. 0.]\n",
      " [1. 0. 0. 0. 0. 1.]\n",
      " [0. 0. 1. 1. 0. 0.]]\n"
     ]
    }
   ],
   "source": [
    "X = [['male', 'Safari'],\n",
    "     ['female', None],\n",
    "     [np.nan, 'Firefox']]\n",
    "\n",
    "enc = preprocessing.OneHotEncoder(handle_unknown='error').fit(X)\n",
    "print(enc.categories_)\n",
    "print(enc.transform(X).toarray())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- If a feature contains both np.nan and None, they will treated separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[array(['Firefox', 'Safari', None, nan], dtype=object)]\n",
      "[[0. 1. 0. 0.]\n",
      " [0. 0. 1. 0.]\n",
      " [0. 0. 0. 1.]\n",
      " [1. 0. 0. 0.]]\n"
     ]
    }
   ],
   "source": [
    "X = [['Safari'], [None], [np.nan], ['Firefox']]\n",
    "\n",
    "enc = preprocessing.OneHotEncoder(handle_unknown='error').fit(X)\n",
    "print(enc.categories_)\n",
    "print(enc.transform(X).toarray())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quantization, aka Binning\n",
    "\n",
    "[KBinsDiscretizer](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html#sklearn.preprocessing.KBinsDiscretizer) partitions features into $k$ bins.\n",
    "\n",
    "- The output is, by default, one-hot encoded into a sparse matrix. This is controlled with `encode`.\n",
    "\n",
    "- The bin edges are computed during `fit` and define the intervals (along with the number of bins.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 1., 1.],\n",
       "       [1., 1., 1.],\n",
       "       [2., 0., 0.]])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = np.array([[ -3., 5., 15 ],\n",
    "              [  0., 6., 14 ],\n",
    "              [  6., 3., 11 ]])\n",
    "\n",
    "est = preprocessing.KBinsDiscretizer(n_bins=[3, 2, 2], \n",
    "                                     encode='ordinal').fit(X)\n",
    "est.transform(X)                      "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Discretization is similar to constructing histograms for continuous data.\n",
    "    - *histograms focus on counting features* in particular bins.\n",
    "    - *discretization assigns feature values to these bins*.\n",
    "\n",
    "\n",
    "- `KBinsDiscretizer` uses `strategy` to select a binning strategy.\n",
    "    \n",
    "    - ‘uniform’: uses constant-width bins. \n",
    "    - ‘quantile’: uses the quantiles values to have equally populated bins.\n",
    "    - ‘kmeans’: bins based on independent k-means clustering for each feature.\n",
    "\n",
    "\n",
    "- You can specify custom bins with a callable (in this case, `pandas.cut`) to `FunctionTransformer`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['infant', 'kid', 'teen', 'adult', 'senior citizen']\n",
       "Categories (5, object): ['infant' < 'kid' < 'teen' < 'adult' < 'senior citizen']"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "bins   = [0,         1,     13,     20,      60, np.inf]\n",
    "labels = ['infant', 'kid', 'teen', 'adult', 'senior citizen']\n",
    "\n",
    "transformer = preprocessing.FunctionTransformer(\n",
    "    pd.cut, kw_args={'bins': bins, \n",
    "                     'labels': labels, \n",
    "                     'retbins': False})\n",
    "\n",
    "X = np.array([0.2, 2, 15, 25, 97])\n",
    "transformer.fit_transform(X)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Example: Binning Continuous Features with KBinsDiscretizer](https://scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html#sphx-glr-auto-examples-preprocessing-plot-discretization-py)\n",
    "\n",
    "- Compare predictions of linear regression (LR) and decision tree (DT), with and without discretization of real-valued features.\n",
    "\n",
    "- LRs are easy to build & interpret, but can only model linear relationships. DTs can build a more complex models. \n",
    "\n",
    "- Binning is one way to make LRs more powerful on continuous data. If the bins are not reasonably wide, there is an increased risk of overfitting - so the discretizer should be tuned under with validation.\n",
    "\n",
    "- After binning, LR & DT make exactly the same prediction. As features are constant within each bin, any model must predict the same value for all points within a bin. \n",
    "\n",
    "- After binning, LR become much more flexible; DT gets much less flexible. Binning features usually have no benefit for DTs - these models can learn to split up the data anywhere."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.preprocessing import KBinsDiscretizer\n",
    "from sklearn.tree import DecisionTreeRegressor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "rnd = np.random.RandomState(42)\n",
    "X   = rnd.uniform(-3, 3, size=100)\n",
    "y   = np.sin(X) + rnd.normal(size=len(X)) / 3\n",
    "X   = X.reshape(-1, 1)\n",
    "\n",
    "enc      = KBinsDiscretizer(n_bins=10, encode='onehot')\n",
    "X_binned = enc.fit_transform(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# predict with original dataset\n",
    "line = np.linspace(-3, 3, 1000, endpoint=False).reshape(-1, 1)\n",
    "reg = LinearRegression().fit(X, y)\n",
    "\n",
    "fig, (ax1, ax2) = plt.subplots(ncols=2, sharey=True, figsize=(10, 4))\n",
    "\n",
    "ax1.plot(line, reg.predict(line), linewidth=2, color='green',\n",
    "         label=\"linear regression\")\n",
    "reg = DecisionTreeRegressor(min_samples_split=3, random_state=0).fit(X, y)\n",
    "ax1.plot(line, reg.predict(line), linewidth=2, color='red',\n",
    "         label=\"decision tree\")\n",
    "ax1.plot(X[:, 0], y, 'o', c='k')\n",
    "ax1.legend(loc=\"best\")\n",
    "ax1.set_ylabel(\"Regression output\")\n",
    "ax1.set_xlabel(\"Input feature\")\n",
    "ax1.set_title(\"Result before discretization\")\n",
    "\n",
    "# predict with transformed dataset\n",
    "line_binned = enc.transform(line)\n",
    "reg = LinearRegression().fit(X_binned, y)\n",
    "\n",
    "ax2.plot(line, reg.predict(line_binned), linewidth=2, color='green',\n",
    "         linestyle='-', label='linear regression')\n",
    "reg = DecisionTreeRegressor(min_samples_split=3,\n",
    "                            random_state=0).fit(X_binned, y)\n",
    "ax2.plot(line, reg.predict(line_binned), linewidth=2, color='red',\n",
    "         linestyle=':', label='decision tree')\n",
    "ax2.plot(X[:, 0], y, 'o', c='k')\n",
    "ax2.vlines(enc.bin_edges_[0], *plt.gca().get_ylim(), linewidth=1, alpha=.2)\n",
    "ax2.legend(loc=\"best\")\n",
    "ax2.set_xlabel(\"Input feature\")\n",
    "ax2.set_title(\"Result after discretization\")\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Example: Feature discretization](https://scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html#sphx-glr-auto-examples-preprocessing-plot-discretization-classification-py)\n",
    "\n",
    "- Feature discretization decomposes each feature into a set of equally distributed (width) bins. The values are one-hot encoded and given to a linear classifier. The preprocessing enables modeling non-linear behavior even though the classifier is linear.\n",
    "\n",
    "- The first two rows represent linearly non-separable datasets (moons and concentric circles); the third is approximately linearly separable. \n",
    "\n",
    "- Feature discretization increases the linear classifier performance on the non-separable datasets, but decreases performance on the third. Two non-linear classifiers are also shown for comparison.\n",
    "\n",
    "- This is not a great example - the intuition conveyed does not carry over to real datasets.\n",
    "\n",
    "    - High-D data can more easily be separated linearly.\n",
    "    - Feature discretization and one-hot encoding increases the number of features, which easily lead to overfitting when the number of samples is small.\n",
    "\n",
    "- Plots: training points = solid colors; testing points = semi-transparent. The lower right shows the classification accuracy on the test set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import ListedColormap\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.datasets import make_moons, make_circles, make_classification\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.preprocessing import KBinsDiscretizer\n",
    "from sklearn.svm import SVC, LinearSVC\n",
    "from sklearn.ensemble import GradientBoostingClassifier\n",
    "from sklearn.utils._testing import ignore_warnings\n",
    "from sklearn.exceptions import ConvergenceWarning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "h = .02  # step size in the mesh\n",
    "\n",
    "\n",
    "def get_name(estimator):\n",
    "    name = estimator.__class__.__name__\n",
    "    if name == 'Pipeline':\n",
    "        name = [get_name(est[1]) for est in estimator.steps]\n",
    "        name = ' + '.join(name)\n",
    "    return name\n",
    "\n",
    "classifiers = [\n",
    "    (LogisticRegression(random_state=0), {\n",
    "        'C': np.logspace(-2, 7, 10)\n",
    "    }),\n",
    "    (LinearSVC(random_state=0), {\n",
    "        'C': np.logspace(-2, 7, 10)\n",
    "    }),\n",
    "    (make_pipeline(\n",
    "        KBinsDiscretizer(encode='onehot'),\n",
    "        LogisticRegression(random_state=0)), {\n",
    "            'kbinsdiscretizer__n_bins': np.arange(2, 10),\n",
    "            'logisticregression__C': np.logspace(-2, 7, 10),\n",
    "        }),\n",
    "    (make_pipeline(\n",
    "        KBinsDiscretizer(encode='onehot'), LinearSVC(random_state=0)), {\n",
    "            'kbinsdiscretizer__n_bins': np.arange(2, 10),\n",
    "            'linearsvc__C': np.logspace(-2, 7, 10),\n",
    "        }),\n",
    "    (GradientBoostingClassifier(n_estimators=50, random_state=0), {\n",
    "        'learning_rate': np.logspace(-4, 0, 10)\n",
    "    }),\n",
    "    (SVC(random_state=0), {\n",
    "        'C': np.logspace(-2, 7, 10)\n",
    "    }),\n",
    "]\n",
    "\n",
    "names = [get_name(e) for e, g in classifiers]\n",
    "\n",
    "n_samples = 100\n",
    "datasets = [\n",
    "    make_moons(n_samples=n_samples, noise=0.2, random_state=0),\n",
    "    make_circles(n_samples=n_samples, noise=0.2, factor=0.5, random_state=1),\n",
    "    make_classification(n_samples=n_samples, n_features=2, n_redundant=0,\n",
    "                        n_informative=2, random_state=2,\n",
    "                        n_clusters_per_class=1)\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "dataset 0\n",
      "---------\n",
      "LogisticRegression: 0.86\n",
      "LinearSVC: 0.86\n",
      "KBinsDiscretizer + LogisticRegression: 0.86\n",
      "KBinsDiscretizer + LinearSVC: 0.92\n",
      "GradientBoostingClassifier: 0.90\n",
      "SVC: 0.94\n",
      "\n",
      "dataset 1\n",
      "---------\n",
      "LogisticRegression: 0.40\n",
      "LinearSVC: 0.40\n",
      "KBinsDiscretizer + LogisticRegression: 0.88\n",
      "KBinsDiscretizer + LinearSVC: 0.86\n",
      "GradientBoostingClassifier: 0.80\n",
      "SVC: 0.84\n",
      "\n",
      "dataset 2\n",
      "---------\n",
      "LogisticRegression: 0.98\n",
      "LinearSVC: 0.98\n",
      "KBinsDiscretizer + LogisticRegression: 0.94\n",
      "KBinsDiscretizer + LinearSVC: 0.94\n",
      "GradientBoostingClassifier: 0.88\n",
      "SVC: 0.98\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1512x648 with 21 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=len(datasets), ncols=len(classifiers) + 1,\n",
    "                         figsize=(21, 9))\n",
    "\n",
    "cm = plt.cm.PiYG\n",
    "cm_bright = ListedColormap(['#b30065', '#178000'])\n",
    "\n",
    "# iterate over datasets\n",
    "for ds_cnt, (X, y) in enumerate(datasets):\n",
    "    print('\\ndataset %d\\n---------' % ds_cnt)\n",
    "\n",
    "    # preprocess dataset, split into training and test part\n",
    "    X = StandardScaler().fit_transform(X)\n",
    "    X_train, X_test, y_train, y_test = train_test_split(\n",
    "        X, y, test_size=.5, random_state=42)\n",
    "\n",
    "    # create the grid for background colors\n",
    "    x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5\n",
    "    y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5\n",
    "    xx, yy = np.meshgrid(\n",
    "        np.arange(x_min, x_max, h), np.arange(y_min, y_max, h))\n",
    "\n",
    "    # plot the dataset first\n",
    "    ax = axes[ds_cnt, 0]\n",
    "    if ds_cnt == 0:\n",
    "        ax.set_title(\"Input data\")\n",
    "    # plot the training points\n",
    "    ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright,\n",
    "               edgecolors='k')\n",
    "    # and testing points\n",
    "    ax.scatter(X_test[:, 0], X_test[:, 1], c=y_test, cmap=cm_bright, alpha=0.6,\n",
    "               edgecolors='k')\n",
    "    ax.set_xlim(xx.min(), xx.max())\n",
    "    ax.set_ylim(yy.min(), yy.max())\n",
    "    ax.set_xticks(())\n",
    "    ax.set_yticks(())\n",
    "\n",
    "    # iterate over classifiers\n",
    "    for est_idx, (name, (estimator, param_grid)) in \\\n",
    "            enumerate(zip(names, classifiers)):\n",
    "        ax = axes[ds_cnt, est_idx + 1]\n",
    "\n",
    "        clf = GridSearchCV(estimator=estimator, param_grid=param_grid)\n",
    "        with ignore_warnings(category=ConvergenceWarning):\n",
    "            clf.fit(X_train, y_train)\n",
    "        score = clf.score(X_test, y_test)\n",
    "        print('%s: %.2f' % (name, score))\n",
    "\n",
    "        # plot the decision boundary. For that, we will assign a color to each\n",
    "        # point in the mesh [x_min, x_max]*[y_min, y_max].\n",
    "        if hasattr(clf, \"decision_function\"):\n",
    "            Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])\n",
    "        else:\n",
    "            Z = clf.predict_proba(np.c_[xx.ravel(), yy.ravel()])[:, 1]\n",
    "\n",
    "        # put the result into a color plot\n",
    "        Z = Z.reshape(xx.shape)\n",
    "        ax.contourf(xx, yy, Z, cmap=cm, alpha=.8)\n",
    "\n",
    "        # plot the training points\n",
    "        ax.scatter(X_train[:, 0], X_train[:, 1], c=y_train, cmap=cm_bright,\n",
    "                   edgecolors='k')\n",
    "        # and testing points\n",
    "        ax.scatter(X_test[:, 0], X_test[:, 1], c=y_test, cmap=cm_bright,\n",
    "                   edgecolors='k', alpha=0.6)\n",
    "        ax.set_xlim(xx.min(), xx.max())\n",
    "        ax.set_ylim(yy.min(), yy.max())\n",
    "        ax.set_xticks(())\n",
    "        ax.set_yticks(())\n",
    "\n",
    "        if ds_cnt == 0:\n",
    "            ax.set_title(name.replace(' + ', '\\n'))\n",
    "        ax.text(0.95, 0.06, ('%.2f' % score).lstrip('0'), size=15,\n",
    "                bbox=dict(boxstyle='round', alpha=0.8, facecolor='white'),\n",
    "                transform=ax.transAxes, horizontalalignment='right')\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "# Add suptitles above the figure\n",
    "plt.subplots_adjust(top=0.90)\n",
    "suptitles = [\n",
    "    'Linear classifiers',\n",
    "    'Feature discretization and linear classifiers',\n",
    "    'Non-linear classifiers',\n",
    "]\n",
    "for i, suptitle in zip([1, 3, 5], suptitles):\n",
    "    ax = axes[0, i]\n",
    "    ax.text(1.05, 1.25, suptitle, transform=ax.transAxes,\n",
    "            horizontalalignment='center', size='x-large')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [KBinsDiscretizer strategy comparisons](https://scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html#sphx-glr-auto-examples-preprocessing-plot-discretization-strategies-py)\n",
    "\n",
    "- 'uniform' vs 'quantile' vs 'kmeans'\n",
    "- The plots show regions where the encoding is constant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.preprocessing import KBinsDiscretizer\n",
    "from sklearn.datasets import make_blobs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "strategies = ['uniform', 'quantile', 'kmeans']\n",
    "\n",
    "n_samples = 200\n",
    "centers_0 = np.array([[0, 0], [0, 5], [2, 4], [8, 8]])\n",
    "centers_1 = np.array([[0, 0], [3, 1]])\n",
    "\n",
    "# construct the datasets\n",
    "random_state = 42\n",
    "X_list = [\n",
    "    np.random.RandomState(random_state).uniform(-3, 3, size=(n_samples, 2)),\n",
    "\n",
    "    make_blobs(n_samples=[n_samples // 10, n_samples * 4 // 10,\n",
    "                          n_samples // 10, n_samples * 4 // 10],\n",
    "               cluster_std=0.5, \n",
    "               centers=centers_0,\n",
    "               random_state=random_state)[0],\n",
    "\n",
    "    make_blobs(n_samples=[n_samples // 5, n_samples * 4 // 5],\n",
    "               cluster_std=0.5, \n",
    "               centers=centers_1,\n",
    "               random_state=random_state)[0],\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x648 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure = plt.figure(figsize=(14, 9))\n",
    "i = 1\n",
    "for ds_cnt, X in enumerate(X_list):\n",
    "\n",
    "    ax = plt.subplot(len(X_list), len(strategies) + 1, i)\n",
    "    ax.scatter(X[:, 0], X[:, 1], edgecolors='k')\n",
    "    if ds_cnt == 0:\n",
    "        ax.set_title(\"Input data\", size=14)\n",
    "\n",
    "    xx, yy = np.meshgrid(\n",
    "        np.linspace(X[:, 0].min(), X[:, 0].max(), 300),\n",
    "        np.linspace(X[:, 1].min(), X[:, 1].max(), 300))\n",
    "    grid = np.c_[xx.ravel(), yy.ravel()]\n",
    "\n",
    "    ax.set_xlim(xx.min(), xx.max())\n",
    "    ax.set_ylim(yy.min(), yy.max())\n",
    "    ax.set_xticks(())\n",
    "    ax.set_yticks(())\n",
    "\n",
    "    i += 1\n",
    "    # transform the dataset with KBinsDiscretizer\n",
    "    for strategy in strategies:\n",
    "        enc = KBinsDiscretizer(n_bins=4, encode='ordinal', strategy=strategy)\n",
    "        enc.fit(X)\n",
    "        grid_encoded = enc.transform(grid)\n",
    "\n",
    "        ax = plt.subplot(len(X_list), len(strategies) + 1, i)\n",
    "\n",
    "        # horizontal stripes\n",
    "        horizontal = grid_encoded[:, 0].reshape(xx.shape)\n",
    "        ax.contourf(xx, yy, horizontal, alpha=.5)\n",
    "        # vertical stripes\n",
    "        vertical = grid_encoded[:, 1].reshape(xx.shape)\n",
    "        ax.contourf(xx, yy, vertical, alpha=.5)\n",
    "\n",
    "        ax.scatter(X[:, 0], X[:, 1], edgecolors='k')\n",
    "        ax.set_xlim(xx.min(), xx.max())\n",
    "        ax.set_ylim(yy.min(), yy.max())\n",
    "        ax.set_xticks(())\n",
    "        ax.set_yticks(())\n",
    "        if ds_cnt == 0:\n",
    "            ax.set_title(\"strategy='%s'\" % (strategy, ), size=14)\n",
    "\n",
    "        i += 1\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Feature Binarization]()\n",
    "\n",
    "- Feature binarization *thresholds numerical features to get boolean values*. This is useful for downstream probabilistic estimators if input data can be described with a *multi-variate Bernoulli distribution*. For instance, this is the case for the BernoulliRBM.\n",
    "\n",
    "- Text processing tasks use binary feature values (probably to simplify the probabilistic reasoning) even if normalized counts (a.k.a. term frequencies) or TF-IDF valued features often perform slightly better in practice.\n",
    "\n",
    "- `Binarizer` is meant to be used in the early stages of a Pipeline. The fit method does nothing - each sample is treated independently of others."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Binarizer()\n",
      "[[1. 0. 1.]\n",
      " [1. 0. 0.]\n",
      " [0. 1. 0.]]\n",
      "[[0. 0. 1.]\n",
      " [1. 0. 0.]\n",
      " [0. 0. 0.]]\n"
     ]
    }
   ],
   "source": [
    "X = [[ 1., -1.,  2.],\n",
    "     [ 2.,  0.,  0.],\n",
    "     [ 0.,  1., -1.]]\n",
    "\n",
    "binarizer = preprocessing.Binarizer().fit(X)  # fit does nothing\n",
    "print(binarizer)\n",
    "print(binarizer.transform(X))\n",
    "\n",
    "# binarizer with adjusted threshold\n",
    "binarizer = preprocessing.Binarizer(threshold=1.1)\n",
    "print(binarizer.transform(X))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Generating polynomial features](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html#sklearn.preprocessing.PolynomialFeatures)\n",
    "\n",
    "- Example 1: transform X from $(X_1,X_2)$ to $(1,X_1,X_2,X^2_1,X_1X_2,X^2_2)$\n",
    "- Example 2: (only feature interaction terms are required, via `interaction_only=True`): X features transformed from $(X_1, X_2, X_3)$ to $(1, X_1, X_2, X_3, X_1X_2, X_1X_3, X_2X_3, X_1X_2X_3)$.\n",
    "\n",
    "- Polynomial features are used implicitly in [kernel methods](https://en.wikipedia.org/wiki/Kernel_method) when using polynomial [kernel functions](https://scikit-learn.org/stable/modules/svm.html#svm-kernels)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 1]\n",
      " [2 3]\n",
      " [4 5]] \n",
      "\n",
      "[[ 1.  0.  1.  0.  0.  1.]\n",
      " [ 1.  2.  3.  4.  6.  9.]\n",
      " [ 1.  4.  5. 16. 20. 25.]]\n",
      "\n",
      "[[0 1 2]\n",
      " [3 4 5]\n",
      " [6 7 8]] \n",
      "\n",
      "[[  1.   0.   1.   2.   0.   0.   2.   0.]\n",
      " [  1.   3.   4.   5.  12.  15.  20.  60.]\n",
      " [  1.   6.   7.   8.  42.  48.  56. 336.]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "\n",
    "X    = np.arange(6).reshape(3, 2); print(X,\"\\n\")\n",
    "poly = PolynomialFeatures(2).fit_transform(X)\n",
    "print(poly)\n",
    "print()\n",
    "# in some cases, only feature interaction terms are needed.\n",
    "X    = np.arange(9).reshape(3, 3); print(X,\"\\n\")\n",
    "poly = PolynomialFeatures(degree=3, \n",
    "                          interaction_only=True).fit_transform(X)\n",
    "print(poly)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### [Custom Transformers](https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html#sklearn.preprocessing.FunctionTransformer)\n",
    "\n",
    "- Use `FunctionTransformer` to convert an existing Python function into a transformer.\n",
    "\n",
    "- ensure `func` & `inverse_func` are indeed inverses by setting `check_inverse=True` and calling `fit` before `transform`. A warning is raised, and can be turned into an error with `filterwarnings`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.        , 0.69314718],\n",
       "       [1.09861229, 1.38629436]])"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import warnings\n",
    "import numpy as np\n",
    "from sklearn.preprocessing import FunctionTransformer as FT\n",
    "\n",
    "warnings.filterwarnings(\"error\",\n",
    "                        message=\".*check_inverse*.\",\n",
    "                        category=UserWarning,\n",
    "                        append=False)\n",
    "\n",
    "transformer = FT(np.log1p, validate=True)\n",
    "X           = np.array([[0, 1], [2, 3]])\n",
    "transformer.transform(X)\n"
   ]
  }
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