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[#198] checking input dim versus X dim and raising a warning if there is a missmatch

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mzwiessele 2015-10-13 08:25:13 +01:00
parent 70bc2fbe99
commit 5b57f75b62
3 changed files with 12 additions and 5 deletions
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10
GPy/plotting/gpy_plot/kernel_plots.py
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@ -49,7 +49,7 @@ def plot_ARD(kernel, filtering=None, legend=False, **kwargs):
bottom = 0
last_bottom = bottom
x = np.arange(kernel.input_dim)
x = np.arange(kernel._effective_input_dim)
parts = []
def visit(x):
@ -62,7 +62,7 @@ def plot_ARD(kernel, filtering=None, legend=False, **kwargs):
bars = []
kwargs = update_not_existing_kwargs(kwargs, pl().defaults.ard)
canvas, kwargs = pl().new_canvas(xlim=(-.5, kernel.input_dim-.5), xlabel='input dimension', ylabel='sensitivity', **kwargs)
canvas, kwargs = pl().new_canvas(xlim=(-.5, kernel._effective_input_dim-.5), xlabel='input dimension', ylabel='sensitivity', **kwargs)
for i in range(ard_params.shape[0]):
if parts[i].name in filtering:
c = Tango.nextMedium()
@ -94,15 +94,15 @@ def plot_covariance(kernel, x=None, label=None,
:param int levels: for 2D projection, how many levels for the contour plot to use?
:param kwargs: valid kwargs for your specific plotting library
"""
X = np.ones((2, kernel.input_dim)) * [[-3], [3]]
X = np.ones((2, kernel._effective_input_dim)) * [[-3], [3]]
_, free_dims, Xgrid, xx, yy, _, _, resolution = helper_for_plot_data(kernel, X, plot_limits, visible_dims, None, resolution)
from numbers import Number
if x is None:
from ...kern.src.stationary import Stationary
x = np.ones((1, kernel.input_dim)) * (not isinstance(kernel, Stationary))
x = np.ones((1, kernel._effective_input_dim)) * (not isinstance(kernel, Stationary))
elif isinstance(x, Number):
x = np.ones((1, kernel.input_dim))*x
x = np.ones((1, kernel._effective_input_dim))*x
K = kernel.K(Xgrid, x)
if projection == '3d':