[SPARK-18282][ML][PYSPARK] Add python clustering summaries for GMM and BKM

## What changes were proposed in this pull request?

Add model summary APIs for `GaussianMixtureModel` and `BisectingKMeansModel` in pyspark.

## How was this patch tested?

Unit tests.

Author: sethah <seth.hendrickson16@gmail.com>

Closes #15777 from sethah/pyspark_cluster_summaries.

1 files changed, 9 insertions, 6 deletions

diff --git a/python/pyspark/ml/classification.py b/python/pyspark/ml/classification.py
index 56c8c62259..83e1e89347 100644
--- a/python/pyspark/ml/classification.py
+++ b/python/pyspark/ml/classification.py
@@ -309,13 +309,16 @@ class LogisticRegressionModel(JavaModel, JavaClassificationModel, JavaMLWritable
     @since("2.0.0")
     def summary(self):
         """
-        Gets summary (e.g. residuals, mse, r-squared ) of model on
-        training set. An exception is thrown if
-        `trainingSummary is None`.
+        Gets summary (e.g. accuracy/precision/recall, objective history, total iterations) of model
+        trained on the training set. An exception is thrown if `trainingSummary is None`.
         """
-        java_blrt_summary = self._call_java("summary")
-        # Note: Once multiclass is added, update this to return correct summary
-        return BinaryLogisticRegressionTrainingSummary(java_blrt_summary)
+        if self.hasSummary:
+            java_blrt_summary = self._call_java("summary")
+            # Note: Once multiclass is added, update this to return correct summary
+            return BinaryLogisticRegressionTrainingSummary(java_blrt_summary)
+        else:
+            raise RuntimeError("No training summary available for this %s" %
+                               self.__class__.__name__)
 
     @property
     @since("2.0.0")