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[plotting] restructuring more and more

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This commit is contained in:
mzwiessele 2015-10-04 12:31:22 +01:00
parent c07f3dbe98
commit 831e032ade
18 changed files with 330 additions and 272 deletions
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11
GPy/plotting/gpy_plot/plot_util.py
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@ -84,7 +84,7 @@ def helper_predict_with_model(self, Xgrid, plot_raw, apply_link, percentiles, wh
fsamples[:, s] = self.likelihood.gp_link.transf(fsamples[:, s])
return retmu, percs, fsamples
def helper_for_plot_data(self, plot_limits, fixed_inputs, resolution):
def helper_for_plot_data(self, plot_limits, visible_dims, fixed_inputs, resolution):
"""
Figure out the data, free_dims and create an Xgrid for
the prediction.
@ -95,7 +95,7 @@ def helper_for_plot_data(self, plot_limits, fixed_inputs, resolution):
if fixed_inputs is None:
fixed_inputs = []
fixed_dims = get_fixed_dims(self, fixed_inputs)
free_dims = get_free_dims(self, None, fixed_dims)
free_dims = get_free_dims(self, visible_dims, fixed_dims)
if len(free_dims) == 1:
#define the frame on which to plot
@ -157,11 +157,10 @@ def get_free_dims(model, visible_dims, fixed_dims):
"""
if visible_dims is None:
visible_dims = np.arange(model.input_dim)
assert visible_dims.size <= 2, "Visible inputs cannot be larger than two"
if fixed_dims is None:
return visible_dims
else:
visible_dims = np.asanyarray(visible_dims)
if fixed_dims is not None:
return np.setdiff1d(visible_dims, fixed_dims)
return visible_dims
def get_fixed_dims(model, fixed_inputs):
"""