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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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21
GPy/core/gp.py
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@ -405,9 +405,10 @@ class GP(Model):
for each point N in Xnew
"""
from ..util.linalg import jitchol
G = self.predict_wishard_embedding(Xnew, kern)
return np.array([2*np.sqrt(np.exp(np.sum(np.log(np.diag(jitchol(G[n, :, :])))))) for n in range(Xnew.shape[0])])
from ..util.linalg import jitchol
return np.array([np.sqrt(np.exp(2*np.sum(np.log(np.diag(jitchol(G[n, :, :])))))) for n in range(Xnew.shape[0])])
#return np.array([np.sqrt(np.linalg.det(G[n, :, :])) for n in range(Xnew.shape[0])])
def posterior_samples_f(self,X,size=10, full_cov=True):
"""
@ -564,6 +565,22 @@ class GP(Model):
plot_raw=plot_raw, Y_metadata=Y_metadata,
data_symbol=data_symbol, predict_kw=predict_kw, **kw)
def plot_magnification(self, labels=None, which_indices=None,
resolution=50, ax=None, marker='o', s=40,
fignum=None, legend=True,
plot_limits=None,
aspect='auto', updates=False, **kwargs):
import sys
assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
from ..plotting.matplot_dep import dim_reduction_plots
return dim_reduction_plots.plot_magnification(self, labels, which_indices,
resolution, ax, marker, s,
fignum, False, legend,
plot_limits, aspect, updates, **kwargs)
def input_sensitivity(self, summarize=True):
"""
Returns the sensitivity for each dimension of this model