From 88e43807710b1eb04c30133d54b72169e918d0f4 Mon Sep 17 00:00:00 2001 From: Jude Kavalam Date: Wed, 24 Jul 2024 23:59:30 +0000 Subject: [PATCH] new sklearn notebook tests --- .../scikitlearn/digit-classification.ipynb | 682 ++++++++++++++++++ testing/scikitlearn/svm-exercise.ipynb | 127 ++++ testing/scikitlearn/svm-exercise.py | 63 ++ testing/scikitlearn/test2.py | 73 ++ testing/x-validation.ipynb | 163 +++++ 5 files changed, 1108 insertions(+) create mode 100644 testing/scikitlearn/digit-classification.ipynb create mode 100644 testing/scikitlearn/svm-exercise.ipynb create mode 100644 testing/scikitlearn/svm-exercise.py create mode 100644 testing/scikitlearn/test2.py create mode 100644 testing/x-validation.ipynb diff --git a/testing/scikitlearn/digit-classification.ipynb b/testing/scikitlearn/digit-classification.ipynb new file mode 100644 index 00000000..9bf9508e --- /dev/null +++ b/testing/scikitlearn/digit-classification.ipynb @@ -0,0 +1,682 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "From https://scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html#sphx-glr-auto-examples-neural-networks-plot-rbm-logistic-classification-py\n", + "\n", + "Restricted Boltzmann Machine features for digit classification\n", + "For greyscale image data where pixel values can be interpreted as degrees of blackness on a white background, like handwritten digit recognition, \n", + "the Bernoulli Restricted Boltzmann machine model (BernoulliRBM) can perform effective non-linear feature extraction" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Generate data\n", + "In order to learn good latent representations from a small dataset, we artificially generate more labeled data by perturbing the training data with linear shifts of 1 pixel in each direction." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from scipy.ndimage import convolve\n", + "\n", + "from sklearn import datasets\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import minmax_scale\n", + "\n", + "\n", + "def nudge_dataset(X, Y):\n", + " \"\"\"\n", + " This produces a dataset 5 times bigger than the original one,\n", + " by moving the 8x8 images in X around by 1px to left, right, down, up\n", + " \"\"\"\n", + " direction_vectors = [\n", + " [[0, 1, 0], [0, 0, 0], [0, 0, 0]],\n", + " [[0, 0, 0], [1, 0, 0], [0, 0, 0]],\n", + " [[0, 0, 0], [0, 0, 1], [0, 0, 0]],\n", + " [[0, 0, 0], [0, 0, 0], [0, 1, 0]],\n", + " ]\n", + "\n", + " def shift(x, w):\n", + " return convolve(x.reshape((8, 8)), mode=\"constant\", weights=w).ravel()\n", + "\n", + " X = np.concatenate(\n", + " [X] + [np.apply_along_axis(shift, 1, X, vector) for vector in direction_vectors]\n", + " )\n", + " Y = np.concatenate([Y for _ in range(5)], axis=0)\n", + " return X, Y\n", + "\n", + "\n", + "X, y = datasets.load_digits(return_X_y=True)\n", + "X = np.asarray(X, \"float32\")\n", + "X, Y = nudge_dataset(X, y)\n", + "X = minmax_scale(X, feature_range=(0, 1)) # 0-1 scaling\n", + "\n", + "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Models definition\n", + "We build a classification pipeline with a BernoulliRBM feature extractor and a LogisticRegression classifier." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn import linear_model\n", + "from sklearn.neural_network import BernoulliRBM\n", + "from sklearn.pipeline import Pipeline\n", + "\n", + "logistic = linear_model.LogisticRegression(solver=\"newton-cg\", tol=1)\n", + "rbm = BernoulliRBM(random_state=0, verbose=True)\n", + "\n", + "rbm_features_classifier = Pipeline(\n", + " steps=[(\"rbm\", rbm), (\"logistic\", logistic)])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Training\n", + "The hyperparameters of the entire model (learning rate, hidden layer size, regularization) were optimized by grid search, but the search is not reproduced here because of runtime constraints." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[BernoulliRBM] Iteration 1, pseudo-likelihood = -25.57, time = 0.08s\n", + "[BernoulliRBM] Iteration 2, pseudo-likelihood = -23.68, time = 0.15s\n", + "[BernoulliRBM] Iteration 3, pseudo-likelihood = -22.88, time = 0.15s\n", + "[BernoulliRBM] Iteration 4, pseudo-likelihood = -21.91, time = 0.18s\n", + "[BernoulliRBM] Iteration 5, pseudo-likelihood = -21.79, time = 0.14s\n", + "[BernoulliRBM] Iteration 6, pseudo-likelihood = -20.96, time = 0.15s\n", + "[BernoulliRBM] Iteration 7, pseudo-likelihood = -20.80, time = 0.14s\n", + "[BernoulliRBM] Iteration 8, pseudo-likelihood = -20.63, time = 0.14s\n", + "[BernoulliRBM] Iteration 9, pseudo-likelihood = -20.38, time = 0.14s\n", + "[BernoulliRBM] Iteration 10, pseudo-likelihood = -20.19, time = 0.17s\n" + ] + }, + { + "data": { + "text/html": [ + "
LogisticRegression(C=100.0, solver='newton-cg', tol=1)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "LogisticRegression(C=100.0, solver='newton-cg', tol=1)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from sklearn.base import clone\n", + "\n", + "# Hyper-parameters. These were set by cross-validation,\n", + "# using a GridSearchCV. Here we are not performing cross-validation to\n", + "# save time.\n", + "rbm.learning_rate = 0.06\n", + "rbm.n_iter = 10\n", + "\n", + "# More components tend to give better prediction performance, but larger\n", + "# fitting time\n", + "rbm.n_components = 100\n", + "logistic.C = 6000\n", + "\n", + "# Training RBM-Logistic Pipeline\n", + "rbm_features_classifier.fit(X_train, Y_train)\n", + "\n", + "# Training the Logistic regression classifier directly on the pixel\n", + "raw_pixel_classifier = clone(logistic)\n", + "raw_pixel_classifier.C = 100.0\n", + "raw_pixel_classifier.fit(X_train, Y_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Evaluation" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Logistic regression using RBM features:\n", + " precision recall f1-score support\n", + "\n", + " 0 0.10 1.00 0.18 174\n", + " 1 0.00 0.00 0.00 184\n", + " 2 0.00 0.00 0.00 166\n", + " 3 0.00 0.00 0.00 194\n", + " 4 0.00 0.00 0.00 186\n", + " 5 0.00 0.00 0.00 181\n", + " 6 0.00 0.00 0.00 207\n", + " 7 0.00 0.00 0.00 154\n", + " 8 0.00 0.00 0.00 182\n", + " 9 0.00 0.00 0.00 169\n", + "\n", + " accuracy 0.10 1797\n", + " macro avg 0.01 0.10 0.02 1797\n", + "weighted avg 0.01 0.10 0.02 1797\n", + "\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/workspaces/python/pylance-release/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/workspaces/python/pylance-release/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n", + "/workspaces/python/pylance-release/.venv/lib/python3.12/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n", + " _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n" + ] + } + ], + "source": [ + "from sklearn import metrics\n", + "\n", + "Y_pred = rbm_features_classifier.predict(X_test)\n", + "print(\n", + " \"Logistic regression using RBM features:\\n%s\\n\"\n", + " % (metrics.classification_report(Y_test, Y_pred))\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Plotting" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(4.2, 4))\n", + "for i, comp in enumerate(rbm.components_):\n", + " plt.subplot(10, 10, i + 1)\n", + " plt.imshow(comp.reshape((8, 8)), cmap=plt.cm.gray_r,\n", + " interpolation=\"nearest\")\n", + " plt.xticks(())\n", + " plt.yticks(())\n", + "plt.suptitle(\"100 components extracted by RBM\", fontsize=16)\n", + "plt.subplots_adjust(0.08, 0.02, 0.92, 0.85, 0.08, 0.23)\n", + "\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/testing/scikitlearn/svm-exercise.ipynb b/testing/scikitlearn/svm-exercise.ipynb new file mode 100644 index 00000000..e4c90e34 --- /dev/null +++ b/testing/scikitlearn/svm-exercise.ipynb @@ -0,0 +1,127 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "from sklearn import datasets, svm\n", + "\n", + "iris = datasets.load_iris()\n", + "X = iris.data\n", + "y = iris.target\n", + "\n", + "X = X[y != 0, :2]\n", + "y = y[y != 0]\n", + "\n", + "n_sample = len(X)\n", + "\n", + "np.random.seed(0)\n", + "order = np.random.permutation(n_sample)\n", + "X = X[order]\n", + "y = y[order].astype(float)\n", + "\n", + "X_train = X[: int(0.9 * n_sample)]\n", + "y_train = y[: int(0.9 * n_sample)]\n", + "X_test = X[int(0.9 * n_sample):]\n", + "y_test = y[int(0.9 * n_sample):]\n", + "\n", + "# fit the model\n", + "for kernel in (\"linear\", \"rbf\", \"poly\"):\n", + " clf = svm.SVC(kernel=kernel, gamma=10)\n", + " clf.fit(X_train, y_train)\n", + "\n", + " plt.figure()\n", + " plt.clf()\n", + " plt.scatter(\n", + " X[:, 0], X[:, 1], c=y, zorder=10, cmap=plt.cm.Paired, edgecolor=\"k\", s=20\n", + " )\n", + "\n", + " # Circle out the test data\n", + " plt.scatter(\n", + " X_test[:, 0], X_test[:, 1], s=80, facecolors=\"none\", zorder=10, edgecolor=\"k\"\n", + " )\n", + "\n", + " plt.axis(\"tight\")\n", + " x_min = X[:, 0].min()\n", + " x_max = X[:, 0].max()\n", + " y_min = X[:, 1].min()\n", + " y_max = X[:, 1].max()\n", + "\n", + " XX, YY = np.mgrid[x_min:x_max:200j, y_min:y_max:200j]\n", + " Z = clf.decision_function(np.c_[XX.ravel(), YY.ravel()])\n", + "\n", + " # Put the result into a color plot\n", + " Z = Z.reshape(XX.shape)\n", + " plt.pcolormesh(XX, YY, Z > 0, cmap=plt.cm.Paired)\n", + " plt.contour(\n", + " XX,\n", + " YY,\n", + " Z,\n", + " colors=[\"k\", \"k\", \"k\"],\n", + " linestyles=[\"--\", \"-\", \"--\"],\n", + " levels=[-0.5, 0, 0.5],\n", + " )\n", + "\n", + " plt.title(kernel)\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/testing/scikitlearn/svm-exercise.py b/testing/scikitlearn/svm-exercise.py new file mode 100644 index 00000000..addc585f --- /dev/null +++ b/testing/scikitlearn/svm-exercise.py @@ -0,0 +1,63 @@ +import matplotlib.pyplot as plt +import numpy as np + +from sklearn import datasets, svm + +iris = datasets.load_iris() +X = iris.data +y = iris.target + +X = X[y != 0, :2] +y = y[y != 0] + +n_sample = len(X) + +np.random.seed(0) +order = np.random.permutation(n_sample) +X = X[order] +y = y[order].astype(float) + +X_train = X[: int(0.9 * n_sample)] +y_train = y[: int(0.9 * n_sample)] +X_test = X[int(0.9 * n_sample):] +y_test = y[int(0.9 * n_sample):] + +# fit the model +for kernel in ("linear", "rbf", "poly"): + clf = svm.SVC(kernel=kernel, gamma=10) + clf.fit(X_train, y_train) + + plt.figure() + plt.clf() + plt.scatter( + X[:, 0], X[:, 1], c=y, zorder=10, cmap=plt.cm.Paired, edgecolor="k", s=20 + ) + + # Circle out the test data + plt.scatter( + X_test[:, 0], X_test[:, 1], s=80, facecolors="none", zorder=10, edgecolor="k" + ) + + plt.axis("tight") + x_min = X[:, 0].min() + x_max = X[:, 0].max() + y_min = X[:, 1].min() + y_max = X[:, 1].max() + + XX, YY = np.mgrid[x_min:x_max:200j, y_min:y_max:200j] + Z = clf.decision_function(np.c_[XX.ravel(), YY.ravel()]) + + # Put the result into a color plot + Z = Z.reshape(XX.shape) + plt.pcolormesh(XX, YY, Z > 0, cmap=plt.cm.Paired) + plt.contour( + XX, + YY, + Z, + colors=["k", "k", "k"], + linestyles=["--", "-", "--"], + levels=[-0.5, 0, 0.5], + ) + + plt.title(kernel) +plt.show() diff --git a/testing/scikitlearn/test2.py b/testing/scikitlearn/test2.py new file mode 100644 index 00000000..404c27e7 --- /dev/null +++ b/testing/scikitlearn/test2.py @@ -0,0 +1,73 @@ +from sklearn.model_selection import KFold +from sklearn.linear_model import LassoCV +import numpy as np +import matplotlib.pyplot as plt +from sklearn import datasets +from sklearn.linear_model import Lasso +from sklearn.model_selection import GridSearchCV + +X, y = datasets.load_diabetes(return_X_y=True) +X = X[:150] +y = y[:150] + +lasso = Lasso(random_state=0, max_iter=10000) +alphas = np.logspace(-4, -0.5, 30) + +tuned_parameters = [{"alpha": alphas}] +n_folds = 5 + +clf = GridSearchCV(lasso, tuned_parameters, cv=n_folds, refit=False) +clf.fit(X, y) +scores = clf.cv_results_["mean_test_score"] +scores_std = clf.cv_results_["std_test_score"] +print("scores:") +print(scores) +print("scores_std:") +print(scores_std) + + +plt.figure().set_size_inches(8, 6) +plt.semilogx(alphas, scores) + +std_error = scores_std / np.sqrt(n_folds) + +plt.semilogx(alphas, scores + std_error, "b--") +plt.semilogx(alphas, scores - std_error, "b--") + +# alpha=0.2 controls the translucency of the fill color +plt.fill_between(alphas, scores + std_error, scores - std_error, alpha=0.2) + +plt.ylabel("CV score +/- std error") +plt.xlabel("alpha") +plt.axhline(np.max(scores), linestyle="--", color=".5") +plt.xlim([alphas[0], alphas[-1]]) + + +# To answer this question we use the LassoCV object that sets its alpha +# parameter automatically from the data by internal cross-validation (i.e. it +# performs cross-validation on the training data it receives). +# We use external cross-validation to see how much the automatically obtained +# alphas differ across different cross-validation folds. + + +lasso_cv = LassoCV(alphas=alphas, random_state=0, max_iter=10000) +k_fold = KFold(3) + +print("Answer to the bonus question:", + "how much can you trust the selection of alpha?") +print() +print("Alpha parameters maximising the generalization score on different") +print("subsets of the data:") +for k, (train, test) in enumerate(k_fold.split(X, y)): + lasso_cv.fit(X[train], y[train]) + print( + "[fold {0}] alpha: {1:.5f}, score: {2:.5f}".format( + k, lasso_cv.alpha_, lasso_cv.score(X[test], y[test]) + ) + ) +print() +print("Answer: Not very much since we obtained different alphas for different") +print("subsets of the data and moreover, the scores for these alphas differ") +print("quite substantially.") + +plt.show() diff --git a/testing/x-validation.ipynb b/testing/x-validation.ipynb new file mode 100644 index 00000000..7e41d7d1 --- /dev/null +++ b/testing/x-validation.ipynb @@ -0,0 +1,163 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "From https://scikit-learn.org/stable/auto_examples/exercises/plot_cv_diabetes.html#sphx-glr-auto-examples-exercises-plot-cv-diabetes-py" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "from sklearn import datasets\n", + "from sklearn.linear_model import Lasso\n", + "from sklearn.model_selection import GridSearchCV\n", + "\n", + "X, y = datasets.load_diabetes(return_X_y=True)\n", + "X = X[:150]\n", + "y = y[:150]\n", + "\n", + "lasso = Lasso(random_state=0, max_iter=10000)\n", + "alphas = np.logspace(-4, -0.5, 30)\n", + "\n", + "tuned_parameters = [{\"alpha\": alphas}]\n", + "n_folds = 5\n", + "\n", + "clf = GridSearchCV(lasso, tuned_parameters, cv=n_folds, refit=False)\n", + "clf.fit(X, y)\n", + "scores = clf.cv_results_[\"mean_test_score\"]\n", + "scores_std = clf.cv_results_[\"std_test_score\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(np.float64(0.0001), np.float64(0.31622776601683794))" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure().set_size_inches(8, 6)\n", + "plt.semilogx(alphas, scores)\n", + "\n", + "std_error = scores_std / np.sqrt(n_folds)\n", + "\n", + "plt.semilogx(alphas, scores + std_error, \"b--\")\n", + "plt.semilogx(alphas, scores - std_error, \"b--\")\n", + "\n", + "# alpha=0.2 controls the translucency of the fill color\n", + "plt.fill_between(alphas, scores + std_error, scores - std_error, alpha=0.2)\n", + "\n", + "plt.ylabel(\"CV score +/- std error\")\n", + "plt.xlabel(\"alpha\")\n", + "plt.axhline(np.max(scores), linestyle=\"--\", color=\".5\")\n", + "plt.xlim([alphas[0], alphas[-1]])" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Answer to the bonus question: how much can you trust the selection of alpha?\n", + "\n", + "Alpha parameters maximising the generalization score on different\n", + "subsets of the data:\n", + "[fold 0] alpha: 0.05968, score: 0.54209\n", + "[fold 1] alpha: 0.04520, score: 0.15521\n", + "[fold 2] alpha: 0.07880, score: 0.45192\n", + "\n", + "Answer: Not very much since we obtained different alphas for different\n", + "subsets of the data and moreover, the scores for these alphas differ\n", + "quite substantially.\n" + ] + } + ], + "source": [ + "# To answer this question we use the LassoCV object that sets its alpha\n", + "# parameter automatically from the data by internal cross-validation (i.e. it\n", + "# performs cross-validation on the training data it receives).\n", + "# We use external cross-validation to see how much the automatically obtained\n", + "# alphas differ across different cross-validation folds.\n", + "\n", + "from sklearn.linear_model import LassoCV\n", + "from sklearn.model_selection import KFold\n", + "\n", + "lasso_cv = LassoCV(alphas=alphas, random_state=0, max_iter=10000)\n", + "k_fold = KFold(3)\n", + "\n", + "print(\"Answer to the bonus question:\",\n", + " \"how much can you trust the selection of alpha?\")\n", + "print()\n", + "print(\"Alpha parameters maximising the generalization score on different\")\n", + "print(\"subsets of the data:\")\n", + "for k, (train, test) in enumerate(k_fold.split(X, y)):\n", + " lasso_cv.fit(X[train], y[train])\n", + " print(\n", + " \"[fold {0}] alpha: {1:.5f}, score: {2:.5f}\".format(\n", + " k, lasso_cv.alpha_, lasso_cv.score(X[test], y[test])\n", + " )\n", + " )\n", + "print()\n", + "print(\"Answer: Not very much since we obtained different alphas for different\")\n", + "print(\"subsets of the data and moreover, the scores for these alphas differ\")\n", + "print(\"quite substantially.\")\n", + "\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}