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[predict] documentation

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Max Zwiessele 2015-05-11 11:26:25 +01:00
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GPy/core/gp.py
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@ -236,7 +236,7 @@ class GP(Model):
If full_cov and self.input_dim > 1, the return shape of var is Nnew x Nnew x self.input_dim. If self.input_dim == 1, the return shape is Nnew x Nnew.
This is to allow for different normalizations of the output dimensions.
Note: If you want the predictive quantiles (e.g. 95% confidence interval) use :py:func:~GPy.core.gp.GP.predict_quantiles.
Note: If you want the predictive quantiles (e.g. 95% confidence interval) use :py:func:"~GPy.core.gp.GP.predict_quantiles".
"""
#predict the latent function values
mu, var = self._raw_predict(Xnew, full_cov=full_cov, kern=kern)