以下代码in the matplotlib documentation创建了Hinton图表:
def hinton(matrix, max_weight=None, ax=None):
"""Draw Hinton diagram for visualizing a weight matrix."""
ax = ax if ax is not None else plt.gca()
if not max_weight:
max_weight = 2 ** np.ceil(np.log(np.abs(matrix).max()) / np.log(2))
ax.patch.set_facecolor('gray')
ax.set_aspect('equal', 'box')
ax.xaxis.set_major_locator(pl.NullLocator())
ax.yaxis.set_major_locator(pl.NullLocator())
for (x, y), w in np.ndenumerate(matrix):
color = 'white' if w > 0 else 'black'
size = np.sqrt(np.abs(w) / max_weight)
rect = pl.Rectangle([x - size / 2, y - size / 2], size, size,
facecolor=color, edgecolor=color)
ax.add_patch(rect)
ax.autoscale_view()
ax.invert_yaxis()
我想创建两个Hinton图:一个用于从输入到隐藏层的权重,一个用于从我的单层MLP中的隐藏层到输出层。我试过了(based on this jupyter notebook):
W = model_created.layers[0].kernel.get_value(borrow=True)
W = np.squeeze(W)
print("W shape : ", W.shape) # (153, 15)
W_out = model_created.layers[1].kernel.get_value(borrow=True)
W_out = np.squeeze(W_out)
print('W_out shape : ', W_out.shape) # (15, 8)
with PdfPages('hinton_again.pdf') as pdf:
h1 = hinton(W)
h2 = hinton(W_out)
pdf.savefig()
我也试过(based on this answer):
h1 = hinton(W)
h2 = hinton(W_out)
pp = PdfPages('hinton_both.pdf')
pp.savefig(h1)
pp.savefig(h2)
pp.close()
无论如何,结果是一样的:W的Hinton图被绘制两次。如何在我的第一组权重中包含一个Hinton图,并在同一个pdf中包含我的第二组权重的Hinton图(我也可以选择两个单独的pdf,只要我能得到两个Hinton图)?
答案 0 :(得分:1)
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命令保存当前数字。由于只有一个当前数字,它将保存两次。为了获得两个数字,需要创建它们,例如通过pdf.savefig()
和plt.figure(1)
。
plt.figure(2)
当然有很多不同的方法可以保存这两个图,另一个可能是
with PdfPages('hinton_again.pdf') as pdf:
plt.figure(1)
h1 = hinton(W)
pdf.savefig()
plt.figure(2)
h2 = hinton(W_out)
pdf.savefig()