8000 [MRG] Modify Svm examples for matplotlibv2 comp (#8456) · massich/scikit-learn@f3d5243 · GitHub 8000
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rishikksh20Joan Massich
rishikksh20
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Joan Massich
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[MRG] Modify Svm examples for matplotlibv2 comp (scikit-learn#8456)
* Modify plot_custom_kernel for matplotlib v2 comp Add `edgecolors` attribute in scatter plot for better visualization in matplotlib version 2 Issue: scikit-learn#8364 * Modify plot_oneclass.py for matplotlib v2 comp Add `edgecolors` attribute to scatter plot for better visualization in matplotlib version 2 Issue: scikit-learn#8364 * Modify plot_rbf_parameters for matplotlib v2 Add `edgecolors` attribute to scatter plot for better visualization. Issue: scikit-learn#8364 * Modify plot_separating_hyperplane_unbalanced for matplotlib v2 Add `edgecolors` attribute to scatter plot for better visualization. Issue: scikit-learn#8364 * Modify plo_svm_kernels for matplotlib v2 Add `edgecolors` attribute to scatter plot for better visualization. Issue: scikit-learn#8364 * Modify plot_svm_margin for matplotlib v2 comp Add `edgecolors` attribute to scatter plot for better visualization. Issue: scikit-learn#8364 * Modify plot_svm_nonlinear for matplotlib v2 Add `edgecolors` attribute to scatter plot for matplotlib version 2 compatibility Issue: scikit-learn#8364 * Modify file for remove flake8 error Remove extra white space. Issue: scikit-learn#8364
1 parent 2350158 commit f3d5243

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+17
-11
lines changed

‎examples/svm/plot_custom_kernel.py

Lines changed: 1 addition & 1 deletion
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@@ -50,7 +50,7 @@ def my_kernel(X, Y):
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plt.pcolormesh(xx, yy, Z, cmap=plt.cm.Paired)
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# Plot also the training points
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plt.scatter(X[:, 0], X[:, 1], c=Y, cmap=plt.cm.Paired)
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plt.scatter(X[:, 0], X[:, 1], c=Y, cmap=plt.cm.Paired, edgecolors='k')
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plt.title('3-Class classification using Support Vector Machine with custom'
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' kernel')
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plt.axis('tight')

‎examples/svm/plot_oneclass.py

Lines changed: 5 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -46,9 +46,11 @@
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plt.contourf(xx, yy, Z, levels=[0, Z.max()], colors='palevioletred')
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s = 40
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b1 = plt.scatter(X_train[:, 0], X_train[:, 1], c='white', s=s)
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b2 = plt.scatter(X_test[:, 0], X_test[:, 1], c='blueviolet', s=s)
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c = plt.scatter(X_outliers[:, 0], X_outliers[:, 1], c='gold', s=s)
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b1 = plt.scatter(X_train[:, 0], X_train[:, 1], c='white', s=s, edgecolors='k')
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b2 = plt.scatter(X_test[:, 0], X_test[:, 1], c='blueviolet', s=s,
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edgecolors='k')
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c = plt.scatter(X_outliers[:, 0], X_outliers[:, 1], c='gold', s=s,
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edgecolors='k')
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plt.axis('tight')
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plt.xlim((-5, 5))
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plt.ylim((-5, 5))

‎examples/svm/plot_rbf_parameters.py

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -166,7 +166,8 @@ def __call__(self, value, clip=None):
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# visualize parameter's effect on decision function
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plt.pcolormesh(xx, yy, -Z, cmap=plt.cm.RdBu)
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plt.scatter(X_2d[:, 0], X_2d[:, 1], c=y_2d, cmap=plt.cm.RdBu_r)
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plt.scatter(X_2d[:, 0], X_2d[:, 1], c=y_2d, cmap=plt.cm.RdBu_r,
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edgecolors='k')
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plt.xticks(())
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plt.yticks(())
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plt.axis('tight')

‎examples/svm/plot_separating_hyperplane_unbalanced.py

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Original file line numberDiff line numberDiff line change
@@ -60,7 +60,7 @@
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# plot separating hyperplanes and samples
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h0 = plt.plot(xx, yy, 'k-', label='no weights')
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h1 = plt.plot(xx, wyy, 'k--', label='with weights')
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plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired)
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plt.scatter(X[:, 0], X[:, 1], c=y, cmap=plt.cm.Paired, edgecolors='k')
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plt.legend()
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plt.axis('tight')

‎examples/svm/plot_svm_kernels.py

Lines changed: 3 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -56,8 +56,9 @@
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plt.clf()
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plt.scatter(clf.support_vectors_[:, 0], clf.support_vectors_[:, 1], s=80,
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facecolors='none', zorder=10)
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plt.scatter(X[:, 0], X[:, 1], c=Y, zorder=10, cmap=plt.cm.Paired)
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facecolors='none', zorder=10, edgecolors='k')
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plt.scatter(X[:, 0], X[:, 1], c=Y, zorder=10, cmap=plt.cm.Paired,
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edgecolors='k')
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plt.axis('tight')
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x_min = -3

‎examples/svm/plot_svm_margin.py

Lines changed: 3 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -62,8 +62,9 @@
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plt.plot(xx, yy_up, 'k--')
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plt.scatter(clf.support_vectors_[:, 0], clf.support_vectors_[:, 1], s=80,
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facecolors='none', zorder=10)
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plt.scatter(X[:, 0], X[:, 1], c=Y, zorder=10, cmap=plt.cm.Paired)
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facecolors='none', zorder=10, edgecolors='k')
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plt.scatter(X[:, 0], X[:, 1], c=Y, zorder=10, cmap=plt.cm.Paired,
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edgecolors='k')
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plt.axis('tight')
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x_min = -4.8

‎examples/svm/plot_svm_nonlinear.py

Lines changed: 2 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -34,7 +34,8 @@
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origin='lower', cmap=plt.cm.PuOr_r)
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contours = plt.contour(xx, yy, Z, levels=[0], linewidths=2,
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linetypes='--')
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plt.scatter(X[:, 0], X[:, 1], s=30, c=Y, cmap=plt.cm.Paired)
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plt.scatter(X[:, 0], X[:, 1], s=30, c=Y, cmap=plt.cm.Paired,
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edgecolors='k')
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plt.xticks(())
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plt.yticks(())
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plt.axis([-3, 3, -3, 3])

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