def getOp(self):
d = {"class": OpRecent, "window_size": self.window_size}
op = OpRecent.build(d, graph=Graph())
exp = np.asarray([[5, 7, 3, 4, 10, 2, 3],
[5, 5, 7, 3, 4, 10, 2],
[5, 5, 5, 7, 3, 4, 10]]).T
return op, exp
def main():
g = Graph()
source = OpNoisySine.build({}, graph=g)
features = OpRecent.build({"window_size": 2}, graph=g)
features.Input.connect(source.Output)
fig = plt.figure()
axes_1 = fig.add_subplot(121, projection="3d")
axes_2 = fig.add_subplot(122, projection="3d")
axes = [axes_1, axes_2]
plt.hold(True)
xy = features.Output[...].wait()
# increasing = xy[:, 0] >= xy[:, 1]
# plt.plot(xy[increasing, 0], xy[increasing, 1], 'rx')
# plt.plot(xy[~increasing, 0], xy[~increasing, 1], 'bx')
for i in range(2):
axes[i].plot(xy[::10, 0], xy[::10, 1], 0.5, "kx")
w, b = get_init(features, PCAWeightInitializer, nhid=4)
colors = "rb"
for i in range(len(b)):
ci = i % len(colors)
ax = axes[1 if i > 1 else 0]
plot_hyperplane(ax, w[:, i], b[i], color=colors[ci], label=str(i))
# plt.axis([-.5, 1.5, -.5, 1.5])
# plt.axis('equal')
# plt.legend()
plt.show()
