From 9b670bcaec9c220603ec10a6d186865dabf26a5b Mon Sep 17 00:00:00 2001 From: Yuhao Date: Tue, 29 Nov 2016 18:46:59 -0800 Subject: [SPARK-18319][ML][QA2.1] 2.1 QA: API: Experimental, DeveloperApi, final, sealed audit ## What changes were proposed in this pull request? make a pass through the items marked as Experimental or DeveloperApi and see if any are stable enough to be unmarked. Also check for items marked final or sealed to see if they are stable enough to be opened up as APIs. Some discussions in the jira: https://issues.apache.org/jira/browse/SPARK-18319 ## How was this patch tested? existing ut Author: Yuhao Author: Yuhao Yang Closes #15972 from hhbyyh/experimental21. --- python/pyspark/ml/feature.py | 4 ---- 1 file changed, 4 deletions(-) (limited to 'python/pyspark/ml/feature.py') diff --git a/python/pyspark/ml/feature.py b/python/pyspark/ml/feature.py index 40b63d4d31..aada38d1ad 100755 --- a/python/pyspark/ml/feature.py +++ b/python/pyspark/ml/feature.py @@ -654,8 +654,6 @@ class IDFModel(JavaModel, JavaMLReadable, JavaMLWritable): @inherit_doc class MaxAbsScaler(JavaEstimator, HasInputCol, HasOutputCol, JavaMLReadable, JavaMLWritable): """ - .. note:: Experimental - Rescale each feature individually to range [-1, 1] by dividing through the largest maximum absolute value in each feature. It does not shift/center the data, and thus does not destroy any sparsity. @@ -715,8 +713,6 @@ class MaxAbsScaler(JavaEstimator, HasInputCol, HasOutputCol, JavaMLReadable, Jav class MaxAbsScalerModel(JavaModel, JavaMLReadable, JavaMLWritable): """ - .. note:: Experimental - Model fitted by :py:class:`MaxAbsScaler`. .. versionadded:: 2.0.0 -- cgit v1.2.3