spark-instrumented-optimizer/python/pyspark/ml
Herman van Hovell e5fb78baf9 [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.
2016-04-30 16:06:20 +01:00
..
param [SPARK-14768][ML][PYSPARK] removed expectedType from Param __init__() 2016-04-25 15:32:11 +02:00
__init__.py [SPARK-13038][PYSPARK] Add load/save to pipeline 2016-03-16 13:49:40 -07:00
base.py [SPARK-13038][PYSPARK] Add load/save to pipeline 2016-03-16 13:49:40 -07:00
classification.py [SPARK-14952][CORE][ML] Remove methods that were deprecated in 1.6.0 2016-04-30 16:06:20 +01:00
clustering.py [SPARK-11940][PYSPARK][ML] Python API for ml.clustering.LDA PR2 2016-04-29 10:42:52 -07:00
evaluation.py [SPARK-14555] First cut of Python API for Structured Streaming 2016-04-20 10:32:01 -07:00
feature.py [SPARK-13289][MLLIB] Fix infinite distances between word vectors in Word2VecModel 2016-04-30 10:16:35 +01:00
pipeline.py [SPARK-14555] First cut of Python API for Structured Streaming 2016-04-20 10:32:01 -07:00
recommendation.py [SPARK-14412][.2][ML] rename *RDDStorageLevel to *StorageLevel in ml.ALS 2016-04-30 00:41:28 -07:00
regression.py [SPARK-14952][CORE][ML] Remove methods that were deprecated in 1.6.0 2016-04-30 16:06:20 +01:00
tests.py [SPARK-14412][.2][ML] rename *RDDStorageLevel to *StorageLevel in ml.ALS 2016-04-30 00:41:28 -07:00
tuning.py [SPARK-13786][ML][PYTHON] Removed save/load for python tuning 2016-04-29 20:51:24 -07:00
util.py [SPARK-14903][SPARK-14071][ML][PYTHON] Revert : MLWritable.write property 2016-04-26 12:00:57 -07:00
wrapper.py [SPARK-14605][ML][PYTHON] Changed Python to use unicode UIDs for spark.ml Identifiable 2016-04-16 11:23:28 -07:00