Revision f359d1720eb5899e1359db6e9ed94bccddbb2c02 authored by Mark van der Wilk on 24 September 2019, 08:13:41 UTC, committed by GitHub on 24 September 2019, 08:13:41 UTC
1 parent 102bf48
intro_to_gpflow2_plotting.py
import io
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
def summary_matplotlib_image(figures, step, fmt="png"):
for name, fig in figures.items():
buf = io.BytesIO()
fig.savefig(buf, format=fmt, bbox_inches='tight')
buf.seek(0)
image = buf.getvalue()
image = tf.image.decode_image(buf.getvalue(), channels=4)
image = tf.expand_dims(image, 0)
tf.summary.image(name=name, data=image, step=step)
def plotting_regression(X, Y, xx, mean, var, samples):
fig = plt.figure(figsize=(12, 6))
ax = fig.add_subplot(111)
ax.plot(xx, mean, 'C0', lw=2)
ax.fill_between(xx[:, 0],
mean[:, 0] - 1.96 * np.sqrt(var[:, 0]),
mean[:, 0] + 1.96 * np.sqrt(var[:, 0]),
color='C0',
alpha=0.2)
ax.plot(X, Y, 'kx')
ax.plot(xx, samples[:, :, 0].numpy().T, 'C0', linewidth=.5)
ax.set_ylim(-2., +2.)
ax.set_xlim(0, 10)
plt.close()
return fig
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