spark-instrumented-optimizer/python/pyspark/mllib/stat/__init__.py
zero323 01321bc0fe [SPARK-33252][PYTHON][DOCS] Migration to NumPy documentation style in MLlib (pyspark.mllib.*)
### 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>
2020-11-25 10:24:41 +09:00

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Python

#
# 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.
#
"""
Python package for statistical functions in MLlib.
"""
from pyspark.mllib.stat._statistics import Statistics, MultivariateStatisticalSummary
from pyspark.mllib.stat.distribution import MultivariateGaussian
from pyspark.mllib.stat.test import ChiSqTestResult, KolmogorovSmirnovTestResult
from pyspark.mllib.stat.KernelDensity import KernelDensity
__all__ = ["Statistics", "MultivariateStatisticalSummary",
"ChiSqTestResult", "KolmogorovSmirnovTestResult",
"MultivariateGaussian", "KernelDensity"]