mlpy.stats.partitioned_cov¶
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mlpy.stats.
partitioned_cov
(x, y, c=None)[source]¶ Covariance of groups.
Partition the rows of x according to class labels in y and take the covariance of each group.
Parameters: x : array_like, shape (n, dim)
The data to group, where n is the number of data points and dim is the dimensionality of each data point.
y : array_like, shape (n,)
The class label for each data point.
c : int
The number of components in y.
Returns: cov : array_like
The covariance of each group.
Examples
>>> partitioned_cov()
Warning
Implementation of this function is not finished yet.