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authorHerman van Hovell <hvanhovell@questtec.nl>2016-04-30 16:06:20 +0100
committerSean Owen <sowen@cloudera.com>2016-04-30 16:06:20 +0100
commite5fb78baf9a6014b6dd02cf9f528d069732aafca (patch)
treef1c49579318bfa86831fbd7cf84be902b0ece27f /python
parent0847fe4eb346e3c2060eb0f3680610bec06115e7 (diff)
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[SPARK-14952][CORE][ML] Remove methods that were deprecated in 1.6.0
#### What changes were proposed in this pull request? This PR removes three methods the were deprecated in 1.6.0: - `PortableDataStream.close()` - `LinearRegression.weights` - `LogisticRegression.weights` The rationale for doing this is that the impact is small and that Spark 2.0 is a major release. #### How was this patch tested? Compilation succeded. Author: Herman van Hovell <hvanhovell@questtec.nl> Closes #12732 from hvanhovell/SPARK-14952.
Diffstat (limited to 'python')
-rw-r--r--python/pyspark/ml/classification.py10
-rw-r--r--python/pyspark/ml/regression.py9
2 files changed, 0 insertions, 19 deletions
diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py
index cc562d2d3d..f616c7fbec 100644
--- a/python/pyspark/ml/classification.py
+++ b/python/pyspark/ml/classification.py
@@ -214,16 +214,6 @@ class LogisticRegressionModel(JavaModel, JavaMLWritable, JavaMLReadable):
"""
@property
- @since("1.4.0")
- def weights(self):
- """
- Model weights.
- """
-
- warnings.warn("weights is deprecated. Use coefficients instead.")
- return self._call_java("weights")
-
- @property
@since("1.6.0")
def coefficients(self):
"""
diff --git a/python/pyspark/ml/regression.py b/python/pyspark/ml/regression.py
index 8e76070e9a..d490953f79 100644
--- a/python/pyspark/ml/regression.py
+++ b/python/pyspark/ml/regression.py
@@ -129,15 +129,6 @@ class LinearRegressionModel(JavaModel, JavaMLWritable, JavaMLReadable):
"""
@property
- @since("1.4.0")
- def weights(self):
- """
- Model weights.
- """
- warnings.warn("weights is deprecated. Use coefficients instead.")
- return self._call_java("weights")
-
- @property
@since("1.6.0")
def coefficients(self):
"""