9818f079aa
### What changes were proposed in this pull request?
This PR proposes to initiate the migration to NumPy documentation style (from reST style) in PySpark docstrings.
This PR also adds one migration example of `SparkContext`.
- **Before:**
...
...
...
- **After:**
...
...
See also https://numpydoc.readthedocs.io/en/latest/format.html
### Why are the changes needed?
There are many reasons for switching to NumPy documentation style.
1. Arguably reST style doesn't fit well when the docstring grows large because it provides (arguably) less structures and syntax.
2. NumPy documentation style provides a better human readable docstring format. For example, notebook users often just do `help(...)` by `pydoc`.
3. NumPy documentation style is pretty commonly used in data science libraries, for example, pandas, numpy, Dask, Koalas,
matplotlib, ... Using NumPy documentation style can give users a consistent documentation style.
### Does this PR introduce _any_ user-facing change?
The dependency itself doesn't change anything user-facing.
The documentation change in `SparkContext` does, as shown above.
### How was this patch tested?
Manually tested via running `cd python` and `make clean html`.
Closes #30149 from HyukjinKwon/SPARK-33243.
Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
254 lines
4.5 KiB
ReStructuredText
254 lines
4.5 KiB
ReStructuredText
.. 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.
|
|
|
|
|
|
MLlib
|
|
=====
|
|
|
|
Classification
|
|
--------------
|
|
|
|
.. currentmodule:: pyspark.mllib.classification
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
LogisticRegressionModel
|
|
LogisticRegressionWithSGD
|
|
LogisticRegressionWithLBFGS
|
|
SVMModel
|
|
SVMWithSGD
|
|
NaiveBayesModel
|
|
NaiveBayes
|
|
StreamingLogisticRegressionWithSGD
|
|
|
|
|
|
Clustering
|
|
----------
|
|
|
|
.. currentmodule:: pyspark.mllib.clustering
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
|
|
BisectingKMeansModel
|
|
BisectingKMeans
|
|
KMeansModel
|
|
KMeans
|
|
GaussianMixtureModel
|
|
GaussianMixture
|
|
PowerIterationClusteringModel
|
|
PowerIterationClustering
|
|
StreamingKMeans
|
|
StreamingKMeansModel
|
|
LDA
|
|
LDAModel
|
|
|
|
|
|
Evaluation
|
|
----------
|
|
|
|
.. currentmodule:: pyspark.mllib.evaluation
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
BinaryClassificationMetrics
|
|
RegressionMetrics
|
|
MulticlassMetrics
|
|
RankingMetrics
|
|
|
|
|
|
Feature
|
|
-------
|
|
|
|
.. currentmodule:: pyspark.mllib.feature
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
Normalizer
|
|
StandardScalerModel
|
|
StandardScaler
|
|
HashingTF
|
|
IDFModel
|
|
IDF
|
|
Word2Vec
|
|
Word2VecModel
|
|
ChiSqSelector
|
|
ChiSqSelectorModel
|
|
ElementwiseProduct
|
|
|
|
|
|
Frequency Pattern Mining
|
|
------------------------
|
|
|
|
.. currentmodule:: pyspark.mllib.fpm
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
FPGrowth
|
|
FPGrowthModel
|
|
PrefixSpan
|
|
PrefixSpanModel
|
|
|
|
|
|
Vector and Matrix
|
|
-----------------
|
|
|
|
.. currentmodule:: pyspark.mllib.linalg
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
Vector
|
|
DenseVector
|
|
SparseVector
|
|
Vectors
|
|
Matrix
|
|
DenseMatrix
|
|
SparseMatrix
|
|
Matrices
|
|
QRDecomposition
|
|
|
|
|
|
Distributed Representation
|
|
~~~~~~~~~~~~~~~~~~~~~~~~~~
|
|
|
|
.. currentmodule:: pyspark.mllib.linalg.distributed
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
BlockMatrix
|
|
CoordinateMatrix
|
|
DistributedMatrix
|
|
IndexedRow
|
|
IndexedRowMatrix
|
|
MatrixEntry
|
|
RowMatrix
|
|
SingularValueDecomposition
|
|
|
|
|
|
Random
|
|
------
|
|
|
|
.. currentmodule:: pyspark.mllib.random
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
RandomRDDs
|
|
|
|
|
|
Recommendation
|
|
--------------
|
|
|
|
.. currentmodule:: pyspark.mllib.recommendation
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
MatrixFactorizationModel
|
|
ALS
|
|
Rating
|
|
|
|
|
|
Regression
|
|
----------
|
|
|
|
.. currentmodule:: pyspark.mllib.regression
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
LabeledPoint
|
|
LinearModel
|
|
LinearRegressionModel
|
|
LinearRegressionWithSGD
|
|
RidgeRegressionModel
|
|
RidgeRegressionWithSGD
|
|
LassoModel
|
|
LassoWithSGD
|
|
IsotonicRegressionModel
|
|
IsotonicRegression
|
|
StreamingLinearAlgorithm
|
|
StreamingLinearRegressionWithSGD
|
|
|
|
|
|
Statistics
|
|
----------
|
|
|
|
.. currentmodule:: pyspark.mllib.stat
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
Statistics
|
|
MultivariateStatisticalSummary
|
|
ChiSqTestResult
|
|
MultivariateGaussian
|
|
KernelDensity
|
|
|
|
|
|
Tree
|
|
----
|
|
|
|
.. currentmodule:: pyspark.mllib.tree
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
DecisionTreeModel
|
|
DecisionTree
|
|
RandomForestModel
|
|
RandomForest
|
|
GradientBoostedTreesModel
|
|
GradientBoostedTrees
|
|
|
|
|
|
Utilities
|
|
---------
|
|
|
|
.. currentmodule:: pyspark.mllib.util
|
|
|
|
.. autosummary::
|
|
:template: autosummary/class_with_docs.rst
|
|
:toctree: api/
|
|
|
|
JavaLoader
|
|
JavaSaveable
|
|
LinearDataGenerator
|
|
Loader
|
|
MLUtils
|
|
Saveable
|
|
|