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DOC: use notebook-style for plot_svm_regression.py example #22534

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Feb 19, 2022
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DOC: use notebook-style for plot_svm_regression.py example #22534

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1098514
Update plot_svm_regression.py
jayasuryajsk Feb 18, 2022
9f57b30
Update plot_svm_regression.py
jayasuryajsk Feb 18, 2022
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Merge branch 'main' into main
jayasuryajsk Feb 18, 2022
350f771
Update plot_svm_regression.py
lesteve Feb 19, 2022
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8 changes: 4 additions & 4 deletions examples/svm/plot_svm_regression.py
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Expand Up @@ -11,22 +11,22 @@
from sklearn.svm import SVR
import matplotlib.pyplot as plt

# #############################################################################
# %%
# Generate sample data
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Suggested change
# Generate sample data
# Generate sample data
# --------------------

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No worries. Done.

X = np.sort(5 * np.random.rand(40, 1), axis=0)
y = np.sin(X).ravel()

# #############################################################################
# %%
# Add noise to targets
y[::5] += 3 * (0.5 - np.random.rand(8))

# #############################################################################
# %%
# Fit regression model
svr_rbf = SVR(kernel="rbf", C=100, gamma=0.1, epsilon=0.1)
svr_lin = SVR(kernel="linear", C=100, gamma="auto")
svr_poly = SVR(kernel="poly", C=100, gamma="auto", degree=3, epsilon=0.1, coef0=1)

# #############################################################################
# %%
# Look at the results
lw = 2

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