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| author | Yanbo Liang <ybliang8@gmail.com> | 2016-04-20 13:02:37 -0700 |
|---|---|---|
| committer | Joseph K. Bradley <joseph@databricks.com> | 2016-04-20 13:02:37 -0700 |
| commit | 296c384aff5bc1c0e8d411669f8f3e082cdf8f55 (patch) | |
| tree | b48a6cef7cd90fb63a597beea99a4b6c0453fd97 /python/pyspark/ml/tuning.py | |
| parent | 8fc267ab3322e46db81e725a5cb1adb5a71b2b4d (diff) | |
| download | spark-296c384aff5bc1c0e8d411669f8f3e082cdf8f55.tar.gz spark-296c384aff5bc1c0e8d411669f8f3e082cdf8f55.tar.bz2 spark-296c384aff5bc1c0e8d411669f8f3e082cdf8f55.zip | |
[MINOR][ML][PYSPARK] Fix omissive params which should use TypeConverter
## What changes were proposed in this pull request?
#11663 adds type conversion functionality for parameters in Pyspark. This PR find out the omissive ```Param``` that did not pass corresponding ```TypeConverter``` argument and fix them. After this PR, all params in pyspark/ml/ used ```TypeConverter```.
## How was this patch tested?
Existing tests.
cc jkbradley sethah
Author: Yanbo Liang <ybliang8@gmail.com>
Closes #12529 from yanboliang/typeConverter.
Diffstat (limited to 'python/pyspark/ml/tuning.py')
| -rw-r--r-- | python/pyspark/ml/tuning.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/python/pyspark/ml/tuning.py b/python/pyspark/ml/tuning.py index ef14da488e..b16628bc70 100644 --- a/python/pyspark/ml/tuning.py +++ b/python/pyspark/ml/tuning.py @@ -448,7 +448,7 @@ class TrainValidationSplit(Estimator, ValidatorParams, MLReadable, MLWritable): """ trainRatio = Param(Params._dummy(), "trainRatio", "Param for ratio between train and\ - validation data. Must be between 0 and 1.") + validation data. Must be between 0 and 1.", typeConverter=TypeConverters.toFloat) @keyword_only def __init__(self, estimator=None, estimatorParamMaps=None, evaluator=None, trainRatio=0.75, |