Skip to content

[SPARK-10027] [ML] [PySpark] Add Python API missing methods for ml.feature #8313

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
yanboliang wants to merge 5 commits into from
Closed

[SPARK-10027] [ML] [PySpark] Add Python API missing methods for ml.feature #8313

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
5c1c445
add missing method for ml.feature
yanboliang Aug 19, 2015
953ca82
add HasHandleInvalid
yanboliang Aug 19, 2015
86353b4
add test for numFeatures & categoryMaps
yanboliang Sep 9, 2015
4eb5607
merge master
yanboliang Sep 9, 2015
5403ae2
resolve merge conflicts
yanboliang Sep 9, 2015
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
add test for numFeatures & categoryMaps
  • Loading branch information
@yanboliang
yanboliang committed Sep 9, 2015
commit 86353b417d4a91f8f3b3967dbc7684f246d75722
4 changes: 4 additions & 0 deletions python/pyspark/ml/feature.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -954,6 +954,10 @@ class VectorIndexer(JavaEstimator, HasInputCol, HasOutputCol):
>>> model = indexer.fit(df)
>>> model.transform(df).head().indexed
DenseVector([1.0, 0.0])
>>> model.numFeatures
2
>>> model.categoryMaps
{0: {0.0: 0, -1.0: 1}}
>>> indexer.setParams(outputCol="test").fit(df).transform(df).collect()[1].test
DenseVector([0.0, 1.0])
>>> params = {indexer.maxCategories: 3, indexer.outputCol: "vector"}
Expand Down