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author | Joseph K. Bradley <joseph@databricks.com> | 2016-04-08 20:15:44 -0700 |
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committer | DB Tsai <dbt@netflix.com> | 2016-04-08 20:15:44 -0700 |
commit | d7af736b2cf6c392b87e7b45c2d2219ef06979eb (patch) | |
tree | 1143b76a2757b75e3ce671e65f68ce8c853fc5d0 /python/pyspark/ml/classification.py | |
parent | 813e96e6faee44079eb52acbdc6c8aa58fb8d191 (diff) | |
download | spark-d7af736b2cf6c392b87e7b45c2d2219ef06979eb.tar.gz spark-d7af736b2cf6c392b87e7b45c2d2219ef06979eb.tar.bz2 spark-d7af736b2cf6c392b87e7b45c2d2219ef06979eb.zip |
[SPARK-14498][ML][PYTHON][SQL] Many cleanups to ML and ML-related docs
## What changes were proposed in this pull request?
Cleanups to documentation. No changes to code.
* GBT docs: Move Scala doc for private object GradientBoostedTrees to public docs for GBTClassifier,Regressor
* GLM regParam: needs doc saying it is for L2 only
* TrainValidationSplitModel: add .. versionadded:: 2.0.0
* Rename “_transformer_params_from_java” to “_transfer_params_from_java”
* LogReg Summary classes: “probability” col should not say “calibrated”
* LR summaries: coefficientStandardErrors —> document that intercept stderr comes last. Same for t,p-values
* approxCountDistinct: Document meaning of “rsd" argument.
* LDA: note which params are for online LDA only
## How was this patch tested?
Doc build
Author: Joseph K. Bradley <joseph@databricks.com>
Closes #12266 from jkbradley/ml-doc-cleanups.
Diffstat (limited to 'python/pyspark/ml/classification.py')
-rw-r--r-- | python/pyspark/ml/classification.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py index d98919b3c6..e64c7a392b 100644 --- a/python/pyspark/ml/classification.py +++ b/python/pyspark/ml/classification.py @@ -291,7 +291,7 @@ class LogisticRegressionSummary(JavaCallable): @since("2.0.0") def probabilityCol(self): """ - Field in "predictions" which gives the calibrated probability + Field in "predictions" which gives the probability of each class as a vector. """ return self._call_java("probabilityCol") |