[SPARK-9112] [ML] Implement Stats for LogisticRegression

I have added support for stats in LogisticRegression. The API is similar to that of LinearRegression with LogisticRegressionTrainingSummary and LogisticRegressionSummary

I have some queries and asked them inline.

Author: MechCoder <manojkumarsivaraj334@gmail.com>

Closes #7538 from MechCoder/log_reg_stats and squashes the following commits:

2e9f7c7 [MechCoder] Change defs into lazy vals
d775371 [MechCoder] Clean up class inheritance
9586125 [MechCoder] Add abstraction to handle Multiclass Metrics
40ad8ef [MechCoder] minor
640376a [MechCoder] remove unnecessary dataframe stuff and add docs
80d9954 [MechCoder] Added tests
fbed861 [MechCoder] DataFrame support for metrics
70a0fc4 [MechCoder] [SPARK-9112] [ML] Implement Stats for LogisticRegression

1 files changed, 9 insertions, 0 deletions

diff --git a/mllib/src/test/java/org/apache/spark/ml/classification/JavaLogisticRegressionSuite.java b/mllib/src/test/java/org/apache/spark/ml/classification/JavaLogisticRegressionSuite.java
index fb1de51163..7e9aa38372 100644
--- a/mllib/src/test/java/org/apache/spark/ml/classification/JavaLogisticRegressionSuite.java
+++ b/mllib/src/test/java/org/apache/spark/ml/classification/JavaLogisticRegressionSuite.java
@@ -152,4 +152,13 @@ public class JavaLogisticRegressionSuite implements Serializable {
       }
     }
   }
+
+  @Test
+  public void logisticRegressionTrainingSummary() {
+    LogisticRegression lr = new LogisticRegression();
+    LogisticRegressionModel model = lr.fit(dataset);
+
+    LogisticRegressionTrainingSummary summary = model.summary();
+    assert(summary.totalIterations() == summary.objectiveHistory().length);
+  }
 }