Repository: spark
Updated Branches:
refs/heads/master cdeb97a8c -> 1b001b520
[MINOR][ML][MLLIB] Remove work around for breeze sparse matrix.
## What changes were proposed in this pull request?
Since we have updated breeze version to 0.12, we should remove work around for
bug of breeze sparse
Repository: spark
Updated Branches:
refs/heads/master e0b20f9f2 -> 6b8cb1fe5
[SPARK-17197][ML][PYSPARK] PySpark LiR/LoR supports tree aggregation level
configurable.
## What changes were proposed in this pull request?
[SPARK-17090](https://issues.apache.org/jira/browse/SPARK-17090) makes
Repository: spark
Updated Branches:
refs/heads/master 92c0eaf34 -> 45b786aca
[MINOR][DOC] Fix wrong ml.feature.Normalizer document.
## What changes were proposed in this pull request?
The ```ml.feature.Normalizer``` examples illustrate L1 norm rather than L2, we
should correct corresponding
Repository: spark
Updated Branches:
refs/heads/master 6d93f9e02 -> 37f0ab70d
[SPARK-17090][FOLLOW-UP][ML] Add expert param support to SharedParamsCodeGen
## What changes were proposed in this pull request?
Add expert param support to SharedParamsCodeGen where aggregationDepth a expert
param
Repository: spark
Updated Branches:
refs/heads/master 61ef74f22 -> 7f08a60b6
[SPARK-16961][FOLLOW-UP][SPARKR] More robust test case for
spark.gaussianMixture.
## What changes were proposed in this pull request?
#14551 fixed off-by-one bug in ```randomizeInPlace``` and some test failure
Repository: spark
Updated Branches:
refs/heads/master 45d40d9f6 -> 39f328ba3
[SPARK-15018][PYSPARK][ML] Improve handling of PySpark Pipeline when used
without stages
## What changes were proposed in this pull request?
When fitting a PySpark Pipeline without the `stages` param set, a
Repository: spark
Updated Branches:
refs/heads/master 5377fc623 -> 864be9359
[SPARK-17141][ML] MinMaxScaler should remain NaN value.
## What changes were proposed in this pull request?
In the existing code, ```MinMaxScaler``` handle ```NaN``` value indeterminately.
* If a column has identity
Repository: spark
Updated Branches:
refs/heads/master ddf0d1e3f -> 3d8bfe7a3
[SPARK-16934][ML][MLLIB] Update LogisticCostAggregator serialization code to
make it consistent with LinearRegression
## What changes were proposed in this pull request?
Update LogisticCostAggregator serialization
Repository: spark
Updated Branches:
refs/heads/master ac84fb64d -> ccc6dc0f4
[MINOR][ML] Rename TreeEnsembleModels to TreeEnsembleModel for PySpark
## What changes were proposed in this pull request?
Fix the typo of ```TreeEnsembleModels``` for PySpark, it should
```TreeEnsembleModel```
Repository: spark
Updated Branches:
refs/heads/master 511f52f84 -> 182e11904
[SPARK-16933][ML] Fix AFTAggregator in AFTSurvivalRegression serializes
unnecessary data.
## What changes were proposed in this pull request?
Similar to ```LeastSquaresAggregator``` in #14109, ```AFTAggregator```
Repository: spark
Updated Branches:
refs/heads/branch-2.0 9d9956e8f -> c5516ab60
[SPARK-16558][EXAMPLES][MLLIB] examples/mllib/LDAExample should use MLVector
instead of MLlib Vector
## What changes were proposed in this pull request?
mllib.LDAExample uses ML pipeline and MLlib LDA
Repository: spark
Updated Branches:
refs/heads/master d9e0919d3 -> dd8514fa2
[SPARK-16558][EXAMPLES][MLLIB] examples/mllib/LDAExample should use MLVector
instead of MLlib Vector
## What changes were proposed in this pull request?
mllib.LDAExample uses ML pipeline and MLlib LDA algorithm.
Repository: spark
Updated Branches:
refs/heads/master a1ff72e1c -> d9e0919d3
[SPARK-16851][ML] Incorrect threshould length in 'setThresholds()' evoke
Exception
## What changes were proposed in this pull request?
Add a length checking for threshoulds' length in method `setThreshoulds()` of
Repository: spark
Updated Branches:
refs/heads/master cc1d2dcb6 -> 37bed97de
[PYSPARK] add picklable SparseMatrix in pyspark.ml.common
## What changes were proposed in this pull request?
add `SparseMatrix` class whick support pickler.
## How was this patch tested?
Existing test.
Author:
Repository: spark
Updated Branches:
refs/heads/master 7e28fabdf -> 909c6d812
[SPARK-16307][ML] Add test to verify the predicted variances of a DT on toy data
## What changes were proposed in this pull request?
The current tests assumes that `impurity.calculate()` returns the variance
Repository: spark
Updated Branches:
refs/heads/branch-2.0 521fc7186 -> 25006c8bc
[SPARK-16249][ML] Change visibility of Object ml.clustering.LDA to public for
loading
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-16249
Change visibility
Repository: spark
Updated Branches:
refs/heads/master 5f342049c -> 5497242c7
[SPARK-16249][ML] Change visibility of Object ml.clustering.LDA to public for
loading
## What changes were proposed in this pull request?
jira: https://issues.apache.org/jira/browse/SPARK-16249
Change visibility of
Repository: spark
Updated Branches:
refs/heads/branch-2.0 0c6fd03fa -> 3ecee573c
[SPARK-16260][ML][EXAMPLE] PySpark ML Example Improvements and Cleanup
## What changes were proposed in this pull request?
1). Remove unused import in Scala example;
2). Move spark session import outside example
Repository: spark
Updated Branches:
refs/heads/master 262833397 -> a539b724c
[SPARK-16260][ML][EXAMPLE] PySpark ML Example Improvements and Cleanup
## What changes were proposed in this pull request?
1). Remove unused import in Scala example;
2). Move spark session import outside example
Repository: spark
Updated Branches:
refs/heads/master 2c3d96134 -> b30a2dc7c
[SPARK-16241][ML] model loading backward compatibility for ml NaiveBayes
## What changes were proposed in this pull request?
model loading backward compatibility for ml NaiveBayes
## How was this patch tested?
Repository: spark
Updated Branches:
refs/heads/branch-2.0 c8a7c2305 -> 1d274455c
[SPARK-16241][ML] model loading backward compatibility for ml NaiveBayes
## What changes were proposed in this pull request?
model loading backward compatibility for ml NaiveBayes
## How was this patch tested?
Repository: spark
Updated Branches:
refs/heads/branch-2.0 af70ad028 -> b349237e4
[SPARK-16242][MLLIB][PYSPARK] Conversion between old/new matrix columns in a
DataFrame (Python)
## What changes were proposed in this pull request?
This PR implements python wrappers for #13888 to convert
Repository: spark
Updated Branches:
refs/heads/master f6b497fcd -> e158478a9
[SPARK-16242][MLLIB][PYSPARK] Conversion between old/new matrix columns in a
DataFrame (Python)
## What changes were proposed in this pull request?
This PR implements python wrappers for #13888 to convert old/new
Repository: spark
Updated Branches:
refs/heads/master af2a4b082 -> edb23f9e4
[SPARK-15946][MLLIB] Conversion between old/new vector columns in a DataFrame
(Python)
## What changes were proposed in this pull request?
This PR implements python wrappers for #13662 to convert old/new vector
Repository: spark
Updated Branches:
refs/heads/branch-2.0 8b6742a37 -> 80b8711b3
[SPARK-15738][PYSPARK][ML] Adding Pyspark ml RFormula __str__ method similar to
Scala API
## What changes were proposed in this pull request?
Adding __str__ to RFormula and model that will show the set formula
Repository: spark
Updated Branches:
refs/heads/branch-2.0 9e16f23e7 -> e21a9ddef
[SPARK-13590][ML][DOC] Document spark.ml LiR, LoR and AFTSurvivalRegression
behavior difference
## What changes were proposed in this pull request?
When fitting ```LinearRegressionModel```(by "l-bfgs" solver)
Repository: spark
Updated Branches:
refs/heads/master 890baaca5 -> 6ecedf39b
[SPARK-13590][ML][DOC] Document spark.ml LiR, LoR and AFTSurvivalRegression
behavior difference
## What changes were proposed in this pull request?
When fitting ```LinearRegressionModel```(by "l-bfgs" solver) and
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