01321bc0fe
### What changes were proposed in this pull request? This PR proposes migration of `pyspark.mllib` to NumPy documentation style. ### Why are the changes needed? To improve documentation style. Before: ![old](https://user-images.githubusercontent.com/1554276/100097941-90234980-2e5d-11eb-8b4d-c25d98d85191.png) After: ![new](https://user-images.githubusercontent.com/1554276/100097966-987b8480-2e5d-11eb-9e02-07b18c327624.png) ### Does this PR introduce _any_ user-facing change? Yes, this changes both rendered HTML docs and console representation (SPARK-33243). ### How was this patch tested? `dev/lint-python` and manual inspection. Closes #30413 from zero323/SPARK-33252. Authored-by: zero323 <mszymkiewicz@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from collections import namedtuple
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__all__ = ['MultivariateGaussian']
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class MultivariateGaussian(namedtuple('MultivariateGaussian', ['mu', 'sigma'])):
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"""Represents a (mu, sigma) tuple
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Examples
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--------
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>>> m = MultivariateGaussian(Vectors.dense([11,12]),DenseMatrix(2, 2, (1.0, 3.0, 5.0, 2.0)))
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>>> (m.mu, m.sigma.toArray())
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(DenseVector([11.0, 12.0]), array([[ 1., 5.],[ 3., 2.]]))
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>>> (m[0], m[1])
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(DenseVector([11.0, 12.0]), array([[ 1., 5.],[ 3., 2.]]))
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"""
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