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Changed all M's for num_inducing

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Alan Saul 2013-06-05 15:29:45 +01:00
parent aac4f6a237
commit 3475b52b6c
21 changed files with 142 additions and 142 deletions
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4
GPy/models/sparse_gp_regression.py
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@ -26,14 +26,14 @@ class SparseGPRegression(SparseGP):
"""
def __init__(self, X, Y, kernel=None, normalize_X=False, normalize_Y=False, Z=None, M=10, X_variance=None):
def __init__(self, X, Y, kernel=None, normalize_X=False, normalize_Y=False, Z=None, num_inducing=10, X_variance=None):
# kern defaults to rbf (plus white for stability)
if kernel is None:
kernel = kern.rbf(X.shape[1]) + kern.white(X.shape[1], 1e-3)
# Z defaults to a subset of the data
if Z is None:
i = np.random.permutation(X.shape[0])[:M]
i = np.random.permutation(X.shape[0])[:num_inducing]
Z = X[i].copy()
else:
assert Z.shape[1] == X.shape[1]