spark-instrumented-optimizer/python/pyspark/mllib/stat/distribution.py

#
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#    http://www.apache.org/licenses/LICENSE-2.0
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from collections import namedtuple

__all__ = ['MultivariateGaussian']


class MultivariateGaussian(namedtuple('MultivariateGaussian', ['mu', 'sigma'])):

    """Represents a (mu, sigma) tuple

    >>> m = MultivariateGaussian(Vectors.dense([11,12]),DenseMatrix(2, 2, (1.0, 3.0, 5.0, 2.0)))
    >>> (m.mu, m.sigma.toArray())
    (DenseVector([11.0, 12.0]), array([[ 1., 5.],[ 3., 2.]]))
    >>> (m[0], m[1])
    (DenseVector([11.0, 12.0]), array([[ 1., 5.],[ 3., 2.]]))
    """