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author | Joseph K. Bradley <joseph@databricks.com> | 2016-07-13 12:33:39 -0700 |
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committer | Joseph K. Bradley <joseph@databricks.com> | 2016-07-13 12:33:39 -0700 |
commit | 01f09b161217193b797c8c85969d17054c958615 (patch) | |
tree | 40d7d4f5932157f8e0f0c13228dd18063728d4d3 /python/pyspark/mllib/linalg/distributed.py | |
parent | d8220c1e5e94abbdb9643672b918f0d748206db9 (diff) | |
download | spark-01f09b161217193b797c8c85969d17054c958615.tar.gz spark-01f09b161217193b797c8c85969d17054c958615.tar.bz2 spark-01f09b161217193b797c8c85969d17054c958615.zip |
[SPARK-14812][ML][MLLIB][PYTHON] Experimental, DeveloperApi annotation audit for ML
## What changes were proposed in this pull request?
General decisions to follow, except where noted:
* spark.mllib, pyspark.mllib: Remove all Experimental annotations. Leave DeveloperApi annotations alone.
* spark.ml, pyspark.ml
** Annotate Estimator-Model pairs of classes and companion objects the same way.
** For all algorithms marked Experimental with Since tag <= 1.6, remove Experimental annotation.
** For all algorithms marked Experimental with Since tag = 2.0, leave Experimental annotation.
* DeveloperApi annotations are left alone, except where noted.
* No changes to which types are sealed.
Exceptions where I am leaving items Experimental in spark.ml, pyspark.ml, mainly because the items are new:
* Model Summary classes
* MLWriter, MLReader, MLWritable, MLReadable
* Evaluator and subclasses: There is discussion of changes around evaluating multiple metrics at once for efficiency.
* RFormula: Its behavior may need to change slightly to match R in edge cases.
* AFTSurvivalRegression
* MultilayerPerceptronClassifier
DeveloperApi changes:
* ml.tree.Node, ml.tree.Split, and subclasses should no longer be DeveloperApi
## How was this patch tested?
N/A
Note to reviewers:
* spark.ml.clustering.LDA underwent significant changes (additional methods), so let me know if you want me to leave it Experimental.
* Be careful to check for cases where a class should no longer be Experimental but has an Experimental method, val, or other feature. I did not find such cases, but please verify.
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #14147 from jkbradley/experimental-audit.
Diffstat (limited to 'python/pyspark/mllib/linalg/distributed.py')
-rw-r--r-- | python/pyspark/mllib/linalg/distributed.py | 14 |
1 files changed, 0 insertions, 14 deletions
diff --git a/python/pyspark/mllib/linalg/distributed.py b/python/pyspark/mllib/linalg/distributed.py index ea4f27cf4f..538cada7d1 100644 --- a/python/pyspark/mllib/linalg/distributed.py +++ b/python/pyspark/mllib/linalg/distributed.py @@ -40,8 +40,6 @@ __all__ = ['DistributedMatrix', 'RowMatrix', 'IndexedRow', class DistributedMatrix(object): """ - .. note:: Experimental - Represents a distributively stored matrix backed by one or more RDDs. @@ -57,8 +55,6 @@ class DistributedMatrix(object): class RowMatrix(DistributedMatrix): """ - .. note:: Experimental - Represents a row-oriented distributed Matrix with no meaningful row indices. @@ -306,8 +302,6 @@ class RowMatrix(DistributedMatrix): class IndexedRow(object): """ - .. note:: Experimental - Represents a row of an IndexedRowMatrix. Just a wrapper over a (long, vector) tuple. @@ -334,8 +328,6 @@ def _convert_to_indexed_row(row): class IndexedRowMatrix(DistributedMatrix): """ - .. note:: Experimental - Represents a row-oriented distributed Matrix with indexed rows. :param rows: An RDD of IndexedRows or (long, vector) tuples. @@ -536,8 +528,6 @@ class IndexedRowMatrix(DistributedMatrix): class MatrixEntry(object): """ - .. note:: Experimental - Represents an entry of a CoordinateMatrix. Just a wrapper over a (long, long, float) tuple. @@ -566,8 +556,6 @@ def _convert_to_matrix_entry(entry): class CoordinateMatrix(DistributedMatrix): """ - .. note:: Experimental - Represents a matrix in coordinate format. :param entries: An RDD of MatrixEntry inputs or @@ -795,8 +783,6 @@ def _convert_to_matrix_block_tuple(block): class BlockMatrix(DistributedMatrix): """ - .. note:: Experimental - Represents a distributed matrix in blocks of local matrices. :param blocks: An RDD of sub-matrix blocks |