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authorYuhao <yuhao.yang@intel.com>2016-11-29 18:46:59 -0800
committerJoseph K. Bradley <joseph@databricks.com>2016-11-29 18:46:59 -0800
commit9b670bcaec9c220603ec10a6d186865dabf26a5b (patch)
tree60bf868a33d2e9139eaa8a70ddcab14ac30263e7 /python/pyspark/ml/feature.py
parentc3d08e2f29baeebe09bf4c059ace4336af9116b5 (diff)
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[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 <yuhao.yang@intel.com> Author: Yuhao Yang <hhbyyh@gmail.com> Closes #15972 from hhbyyh/experimental21.
Diffstat (limited to 'python/pyspark/ml/feature.py')
-rwxr-xr-xpython/pyspark/ml/feature.py4
1 files changed, 0 insertions, 4 deletions
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