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[magnification] mostly plotting and some model corrections for _predictive_variable

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Max Zwiessele 2015-09-02 15:46:40 +01:00
parent 26bdcfa82e
commit ca60ad3195
7 changed files with 54 additions and 33 deletions
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19
GPy/plotting/matplot_dep/dim_reduction_plots.py
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@ -322,11 +322,11 @@ def plot_magnification(model, labels=None, which_indices=None,
index = np.nonzero(labels == ul)[0]
if model.input_dim == 1:
x = model.X[index, input_1]
x = X[index, input_1]
y = np.zeros(index.size)
else:
x = model.X[index, input_1]
y = model.X[index, input_2]
x = X[index, input_1]
y = X[index, input_2]
ax.scatter(x, y, marker=m, s=s, color=Tango.nextMedium(), label=this_label)
ax.set_xlabel('latent dimension %i' % input_1)
@ -335,13 +335,14 @@ def plot_magnification(model, labels=None, which_indices=None,
if not np.all(labels == 1.) and legend:
ax.legend(loc=0, numpoints=1)
ax.set_xlim(xmin[0], xmax[0])
ax.set_ylim(xmin[1], xmax[1])
ax.set_xlim((xmin, xmax))
ax.set_ylim((ymin, ymax))
ax.grid(b=False) # remove the grid if present, it doesn't look good
ax.set_aspect('auto') # set a nice aspect ratio
if plot_inducing:
ax.plot(model.Z[:, input_1], model.Z[:, input_2], '^w')
Z = model.Z
ax.scatter(Z[:, input_1], Z[:, input_2], c='w', s=18, marker="^", edgecolor='k', linewidth=.3, alpha=.7)
if updates:
fig.canvas.show()
@ -386,8 +387,8 @@ def plot_steepest_gradient_map(model, fignum=None, ax=None, which_indices=None,
this_label = 'class %i' % i
m = marker.next()
index = np.nonzero(data_labels == ul)[0]
x = model.X[index, input_1]
y = model.X[index, input_2]
x = X[index, input_1]
y = X[index, input_2]
ax.scatter(x, y, marker=m, s=data_s, color=Tango.nextMedium(), label=this_label)
ax.set_xlabel('latent dimension %i' % input_1)
@ -395,7 +396,7 @@ def plot_steepest_gradient_map(model, fignum=None, ax=None, which_indices=None,
controller = ImAnnotateController(ax,
plot_function,
tuple(model.X.min(0)[:, significant_dims]) + tuple(model.X.max(0)[:, significant_dims]),
tuple(X.min(0)[:, significant_dims]) + tuple(X.max(0)[:, significant_dims]),
resolution=resolution,
aspect=aspect,
cmap=get_cmap('jet'),