MultivariateGaussian#

class pyspark.mllib.stat.MultivariateGaussian(mu, sigma)[source]#

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.]]))

Methods

`count`(value, /)	Return number of occurrences of value.
`index`(value[, start, stop])	Return first index of value.

Attributes

`mu`	Alias for field number 0
`sigma`	Alias for field number 1

Methods Documentation

count(value, /)#: Return number of occurrences of value.

index(value, start=0, stop=sys.maxsize, /)#

Return first index of value.

Raises ValueError if the value is not present.

Attributes Documentation

mu#: Alias for field number 0

sigma#: Alias for field number 1