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changed pylab for pyplot in classification examples

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This commit is contained in:
James Hensman 2014-10-16 16:53:23 +01:00
parent bc9f0159c5
commit d961f736f2
1 changed files with 5 additions and 5 deletions
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10
GPy/examples/classification.py
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@ -9,7 +9,7 @@ import GPy
import pods
try:
import pylab as pb
from matplotlib import pyplot as plt
except:
pass
@ -72,7 +72,7 @@ def toy_linear_1d_classification(seed=default_seed, optimize=True, plot=True):
# Plot
if plot:
fig, axes = pb.subplots(2, 1)
fig, axes = plt.subplots(2, 1)
m.plot_f(ax=axes[0])
m.plot(ax=axes[1])
@ -108,7 +108,7 @@ def toy_linear_1d_classification_laplace(seed=default_seed, optimize=True, plot=
# Plot
if plot:
fig, axes = pb.subplots(2, 1)
fig, axes = plt.subplots(2, 1)
m.plot_f(ax=axes[0])
m.plot(ax=axes[1])
@ -138,7 +138,7 @@ def sparse_toy_linear_1d_classification(num_inducing=10, seed=default_seed, opti
# Plot
if plot:
fig, axes = pb.subplots(2, 1)
fig, axes = plt.subplots(2, 1)
m.plot_f(ax=axes[0])
m.plot(ax=axes[1])
@ -172,7 +172,7 @@ def toy_heaviside(seed=default_seed, optimize=True, plot=True):
# Plot
if plot:
fig, axes = pb.subplots(2, 1)
fig, axes = plt.subplots(2, 1)
m.plot_f(ax=axes[0])
m.plot(ax=axes[1])