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[WIP] Modify SVR example for better plot #8367

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[WIP] Modify SVR example for better plot #8367

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944be8c
Modify SVR example for better plot
rishikksh20 Feb 15, 2017
73ba352
Modify plot_svm_regression for removing flake8 error
rishikksh20 Feb 16, 2017
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14 changes: 10 additions & 4 deletions examples/svm/plot_svm_regression.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,17 +23,23 @@

###############################################################################
# Fit regression model
svr_rbf = SVR(kernel='rbf', C=1e3, gamma=0.1)
svr_lin = SVR(kernel='linear', C=1e3)
svr_poly = SVR(kernel='poly', C=1e3, degree=2)
svr_rbf = SVR(kernel='rbf', C=100, gamma=0.1, epsilon=.1)
svr_lin = SVR(kernel='linear', C=100)
svr_poly = SVR(kernel='poly', C=100, degree=3, epsilon=.1, coef0=1)
y_rbf = svr_rbf.fit(X, y).predict(X)
y_lin = svr_lin.fit(X, y).predict(X)
y_poly = svr_poly.fit(X, y).predict(X)

###############################################################################
# look at the results
lw = 2
plt.scatter(X, y, color='darkorange', label='data')
plt.scatter(X[svr_rbf.support_], y[svr_rbf.support_], facecolor="none",
edgecolor="k", marker='8', label='rbf support vectors', s=100)
plt.scatter(X[svr_lin.support_], y[svr_lin.support_], facecolor="none",
edgecolor="k", marker='^', label='linear support vectors', s=100)
plt.scatter(X[svr_poly.support_], y[svr_poly.support_], facecolor="none",
edgecolor="k", marker='s', label='poly support vectors', s=100)

plt.hold('on')
plt.plot(X, y_rbf, color='navy', lw=lw, label='RBF model')
plt.plot(X, y_lin, color='c', lw=lw, label='Linear model')
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