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errorbars fixed

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Ricardo 2015-09-03 17:30:16 +01:00
parent 1e45a7cddd
commit 6e76a96d77
2 changed files with 9 additions and 8 deletions
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10
GPy/core/gp.py
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@ -565,7 +565,7 @@ class GP(Model):
which_data_ycols, fixed_inputs,
levels, samples, fignum, ax, resolution,
plot_raw=plot_raw, Y_metadata=Y_metadata,
data_symbol=data_symbol, predict_kw=predict_kw,
data_symbol=data_symbol, predict_kw=predict_kw,
plot_training_data=plot_training_data, **kw)
@ -613,9 +613,9 @@ class GP(Model):
fignum, ax, data_symbol, **kw)
def plot_fit_errorbars(self, which_data_rows='all',
def errorbars_trainset(self, which_data_rows='all',
which_data_ycols='all', fixed_inputs=[], fignum=None, ax=None,
linecol=None, data_symbol='kx', predict_kw=None, plot_training_data=True):
linecol=None, data_symbol='kx', predict_kw=None, plot_training_data=True,lw=None):
"""
Plot the posterior error bars corresponding to the training data
@ -640,7 +640,9 @@ class GP(Model):
assert "matplotlib" in sys.modules, "matplotlib package has not been imported."
from ..plotting.matplot_dep import models_plots
kw = {}
return models_plots.plot_fit_errorbars(self, which_data_rows, which_data_ycols, fixed_inputs,
if lw is not None:
kw['lw'] = lw
return models_plots.errorbars_trainset(self, which_data_rows, which_data_ycols, fixed_inputs,
fignum, ax, linecol, data_symbol,
predict_kw, plot_training_data, **kw)