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changed pylab for pyplot in classification examples
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1 changed files with 5 additions and 5 deletions
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@ -9,7 +9,7 @@ import GPy
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import pods
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import pods
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try:
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try:
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import pylab as pb
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from matplotlib import pyplot as plt
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except:
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except:
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pass
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pass
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@ -72,7 +72,7 @@ def toy_linear_1d_classification(seed=default_seed, optimize=True, plot=True):
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# Plot
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# Plot
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if plot:
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if plot:
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fig, axes = pb.subplots(2, 1)
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fig, axes = plt.subplots(2, 1)
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m.plot_f(ax=axes[0])
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m.plot_f(ax=axes[0])
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m.plot(ax=axes[1])
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m.plot(ax=axes[1])
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@ -108,7 +108,7 @@ def toy_linear_1d_classification_laplace(seed=default_seed, optimize=True, plot=
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# Plot
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# Plot
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if plot:
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if plot:
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fig, axes = pb.subplots(2, 1)
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fig, axes = plt.subplots(2, 1)
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m.plot_f(ax=axes[0])
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m.plot_f(ax=axes[0])
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m.plot(ax=axes[1])
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m.plot(ax=axes[1])
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@ -138,7 +138,7 @@ def sparse_toy_linear_1d_classification(num_inducing=10, seed=default_seed, opti
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# Plot
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# Plot
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if plot:
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if plot:
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fig, axes = pb.subplots(2, 1)
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fig, axes = plt.subplots(2, 1)
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m.plot_f(ax=axes[0])
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m.plot_f(ax=axes[0])
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m.plot(ax=axes[1])
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m.plot(ax=axes[1])
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@ -172,7 +172,7 @@ def toy_heaviside(seed=default_seed, optimize=True, plot=True):
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# Plot
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# Plot
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if plot:
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if plot:
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fig, axes = pb.subplots(2, 1)
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fig, axes = plt.subplots(2, 1)
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m.plot_f(ax=axes[0])
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m.plot_f(ax=axes[0])
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m.plot(ax=axes[1])
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m.plot(ax=axes[1])
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