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mzwiessele 2014-06-27 16:18:41 -07:00
parent 8213b5011c
commit 35b778b45f
6 changed files with 27 additions and 27 deletions
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11
GPy/plotting/matplot_dep/models_plots.py
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@ -8,7 +8,7 @@ from base_plots import gpplot, x_frame1D, x_frame2D
from ...util.misc import param_to_array
from ...models.gp_coregionalized_regression import GPCoregionalizedRegression
from ...models.sparse_gp_coregionalized_regression import SparseGPCoregionalizedRegression
from scipy import sparse
def plot_fit(model, plot_limits=None, which_data_rows='all',
which_data_ycols='all', fixed_inputs=[],
@ -61,11 +61,14 @@ def plot_fit(model, plot_limits=None, which_data_rows='all',
if hasattr(model, 'has_uncertain_inputs') and model.has_uncertain_inputs():
X = model.X.mean
X_variance = param_to_array(model.X.variance)
X_variance = model.X.variance
else:
X = model.X
X, Y = param_to_array(X, model.Y)
if hasattr(model, 'Z'): Z = param_to_array(model.Z)
#X, Y = param_to_array(X, model.Y)
Y = model.Y
if sparse.issparse(Y): Y = Y.todense().view(np.ndarray)
if hasattr(model, 'Z'): Z = model.Z
#work out what the inputs are for plotting (1D or 2D)
fixed_dims = np.array([i for i,v in fixed_inputs])