[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.

1 files changed, 1 insertions, 1 deletions

diff --git a/python/pyspark/ml/wrapper.py b/python/pyspark/ml/wrapper.py
index a2cf2296fb..bbeb6cfe6f 100644
--- a/python/pyspark/ml/wrapper.py
+++ b/python/pyspark/ml/wrapper.py
@@ -249,7 +249,7 @@ class JavaModel(Model, JavaCallable, JavaTransformer):
         """
         Initialize this instance with a Java model object.
         Subclasses should call this constructor, initialize params,
-        and then call _transformer_params_from_java.
+        and then call _transfer_params_from_java.
 
         This instance can be instantiated without specifying java_model,
         it will be assigned after that, but this scenario only used by