Repository: spark
Updated Branches:
  refs/heads/branch-2.1 8e097890a -> 69786ea3a


[SPARK-20631][PYTHON][ML] LogisticRegression._checkThresholdConsistency should 
use values not Params

## What changes were proposed in this pull request?

- Replace `getParam` calls with `getOrDefault` calls.
- Fix exception message to avoid unintended `TypeError`.
- Add unit tests

## How was this patch tested?

New unit tests.

Author: zero323 <zero...@users.noreply.github.com>

Closes #17891 from zero323/SPARK-20631.

(cherry picked from commit 804949c6bf00b8e26c39d48bbcc4d0470ee84e47)
Signed-off-by: Yanbo Liang <yblia...@gmail.com>


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/69786ea3
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/69786ea3
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/69786ea3

Branch: refs/heads/branch-2.1
Commit: 69786ea3a972af1b29a332dc11ac507ed4368cc6
Parents: 8e09789
Author: zero323 <zero...@users.noreply.github.com>
Authored: Wed May 10 16:57:52 2017 +0800
Committer: Yanbo Liang <yblia...@gmail.com>
Committed: Wed May 10 16:58:34 2017 +0800

----------------------------------------------------------------------
 python/pyspark/ml/classification.py |  6 +++---
 python/pyspark/ml/tests.py          | 12 ++++++++++++
 2 files changed, 15 insertions(+), 3 deletions(-)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/spark/blob/69786ea3/python/pyspark/ml/classification.py
----------------------------------------------------------------------
diff --git a/python/pyspark/ml/classification.py 
b/python/pyspark/ml/classification.py
index 570a414..2b47c40 100644
--- a/python/pyspark/ml/classification.py
+++ b/python/pyspark/ml/classification.py
@@ -238,13 +238,13 @@ class LogisticRegression(JavaEstimator, HasFeaturesCol, 
HasLabelCol, HasPredicti
 
     def _checkThresholdConsistency(self):
         if self.isSet(self.threshold) and self.isSet(self.thresholds):
-            ts = self.getParam(self.thresholds)
+            ts = self.getOrDefault(self.thresholds)
             if len(ts) != 2:
                 raise ValueError("Logistic Regression getThreshold only 
applies to" +
                                  " binary classification, but thresholds has 
length != 2." +
-                                 " thresholds: " + ",".join(ts))
+                                 " thresholds: {0}".format(str(ts)))
             t = 1.0/(1.0 + ts[0]/ts[1])
-            t2 = self.getParam(self.threshold)
+            t2 = self.getOrDefault(self.threshold)
             if abs(t2 - t) >= 1E-5:
                 raise ValueError("Logistic Regression getThreshold found 
inconsistent values for" +
                                  " threshold (%g) and thresholds (equivalent 
to %g)" % (t2, t))

http://git-wip-us.apache.org/repos/asf/spark/blob/69786ea3/python/pyspark/ml/tests.py
----------------------------------------------------------------------
diff --git a/python/pyspark/ml/tests.py b/python/pyspark/ml/tests.py
index 70e0c6d..7152036 100755
--- a/python/pyspark/ml/tests.py
+++ b/python/pyspark/ml/tests.py
@@ -808,6 +808,18 @@ class PersistenceTest(SparkSessionTestCase):
         except OSError:
             pass
 
+    def logistic_regression_check_thresholds(self):
+        self.assertIsInstance(
+            LogisticRegression(threshold=0.5, thresholds=[0.5, 0.5]),
+            LogisticRegressionModel
+        )
+
+        self.assertRaisesRegexp(
+            ValueError,
+            "Logistic Regression getThreshold found inconsistent.*$",
+            LogisticRegression, threshold=0.42, thresholds=[0.5, 0.5]
+        )
+
     def _compare_params(self, m1, m2, param):
         """
         Compare 2 ML Params instances for the given param, and assert both 
have the same param value


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