DOC Fix doc of defaults in gaussion_process._gpr.py
@@ -93,7 +93,7 @@ class GaussianProcessRegressor(MultiOutputMixin,
must be finite. Note that n_restarts_optimizer == 0 implies that one
run is performed.
- normalize_y : boolean, optional (default: False)
+ normalize_y : bool, default=False
Whether the target values y are normalized, the mean and variance of
the target values are set equal to 0 and 1 respectively. This is
recommended for cases where zero-mean, unit-variance priors are used.
@@ -296,12 +296,12 @@ class GaussianProcessRegressor(MultiOutputMixin,
return_cov : bool, default=False
If True, the covariance of the joint predictive distribution at
- the query points is returned along with the mean
+ the query points is returned along with the mean.
Returns
-------
y_mean : ndarray of shape (n_samples, [n_output_dims])
- Mean of predictive distribution a query points
+ Mean of predictive distribution a query points.
y_std : ndarray of shape (n_samples,), optional
Standard deviation of predictive distribution at query points.
