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

Missing method of ml.feature are listed here:
```StringIndexer``` lacks of parameter ```handleInvalid```.
```StringIndexerModel``` lacks of method ```labels```.
```VectorIndexerModel``` lacks of methods ```numFeatures``` and ```categoryMaps```.

Author: Yanbo Liang <ybliang8@gmail.com>

Closes #8313 from yanboliang/spark-10027.

1 files changed, 4 insertions, 1 deletions

diff --git a/python/pyspark/ml/param/_shared_params_code_gen.py b/python/pyspark/ml/param/_shared_params_code_gen.py
index 69efc424ec..926375e448 100644
--- a/python/pyspark/ml/param/_shared_params_code_gen.py
+++ b/python/pyspark/ml/param/_shared_params_code_gen.py
@@ -121,7 +121,10 @@ if __name__ == "__main__":
         ("checkpointInterval", "checkpoint interval (>= 1)", None),
         ("seed", "random seed", "hash(type(self).__name__)"),
         ("tol", "the convergence tolerance for iterative algorithms", None),
-        ("stepSize", "Step size to be used for each iteration of optimization.", None)]
+        ("stepSize", "Step size to be used for each iteration of optimization.", None),
+        ("handleInvalid", "how to handle invalid entries. Options are skip (which will filter " +
+         "out rows with bad values), or error (which will throw an errror). More options may be " +
+         "added later.", None)]
     code = []
     for name, doc, defaultValueStr in shared:
         param_code = _gen_param_header(name, doc, defaultValueStr)