Source code for pyspark.mllib.stat.distribution

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__all__ = ["MultivariateGaussian"]

from typing import NamedTuple

from pyspark.mllib.linalg import Matrix, Vector


[docs]class MultivariateGaussian(NamedTuple): """Represents a (mu, sigma) tuple Examples -------- >>> 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.]])) """ mu: Vector sigma: Matrix