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[ploting] dim reduction

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Max Zwiessele 2014-05-16 11:20:50 +01:00
parent 382645ff37
commit efc1f4413c
2 changed files with 5 additions and 5 deletions
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6
GPy/plotting/matplot_dep/dim_reduction_plots.py
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@ -31,7 +31,7 @@ def plot_latent(model, labels=None, which_indices=None,
resolution=50, ax=None, marker='o', s=40,
fignum=None, plot_inducing=False, legend=True,
plot_limits=None,
aspect='auto', updates=False, **kwargs):
aspect='auto', updates=False, predict_kwargs={}, imshow_kwargs={}):
"""
:param labels: a np.array of size model.num_data containing labels for the points (can be number, strings, etc)
:param resolution: the resolution of the grid on which to evaluate the predictive variance
@ -60,7 +60,7 @@ def plot_latent(model, labels=None, which_indices=None,
def plot_function(x):
Xtest_full = np.zeros((x.shape[0], model.X.shape[1]))
Xtest_full[:, [input_1, input_2]] = x
_, var = model.predict(Xtest_full)
_, var = model.predict(Xtest_full, **predict_kwargs)
var = var[:, :1]
return np.log(var)
@ -81,7 +81,7 @@ def plot_latent(model, labels=None, which_indices=None,
view = ImshowController(ax, plot_function,
(xmin, ymin, xmax, ymax),
resolution, aspect=aspect, interpolation='bilinear',
cmap=pb.cm.binary, **kwargs)
cmap=pb.cm.binary, **imshow_kwargs)
# make sure labels are in order of input:
ulabels = []