# # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # __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