[SPARK-19336][ML][PYSPARK] LinearSVC Python API

## What changes were proposed in this pull request?

Add Python API for the newly added LinearSVC algorithm.

## How was this patch tested?

Add new doc string test.

Author: wm624@hotmail.com <wm624@hotmail.com>

Closes #16694 from wangmiao1981/ser.

2 files changed, 26 insertions, 0 deletions

diff --git a/python/pyspark/ml/param/_shared_params_code_gen.py b/python/pyspark/ml/param/_shared_params_code_gen.py
index 929591236d..51d49b524c 100644
--- a/python/pyspark/ml/param/_shared_params_code_gen.py
+++ b/python/pyspark/ml/param/_shared_params_code_gen.py
@@ -143,6 +143,8 @@ if __name__ == "__main__":
          "The class with largest value p/t is predicted, where p is the original " +
          "probability of that class and t is the class's threshold.", None,
          "TypeConverters.toListFloat"),
+        ("threshold", "threshold in binary classification prediction, in range [0, 1]",
+         "0.5", "TypeConverters.toFloat"),
         ("weightCol", "weight column name. If this is not set or empty, we treat " +
          "all instance weights as 1.0.", None, "TypeConverters.toString"),
         ("solver", "the solver algorithm for optimization. If this is not set or empty, " +
diff --git a/python/pyspark/ml/param/shared.py b/python/pyspark/ml/param/shared.py
index cc596936d8..163a0e2b3a 100644
--- a/python/pyspark/ml/param/shared.py
+++ b/python/pyspark/ml/param/shared.py
@@ -490,6 +490,30 @@ class HasThresholds(Params):
         return self.getOrDefault(self.thresholds)
 
 
+class HasThreshold(Params):
+    """
+    Mixin for param threshold: threshold in binary classification prediction, in range [0, 1]
+    """
+
+    threshold = Param(Params._dummy(), "threshold", "threshold in binary classification prediction, in range [0, 1]", typeConverter=TypeConverters.toFloat)
+
+    def __init__(self):
+        super(HasThreshold, self).__init__()
+        self._setDefault(threshold=0.5)
+
+    def setThreshold(self, value):
+        """
+        Sets the value of :py:attr:`threshold`.
+        """
+        return self._set(threshold=value)
+
+    def getThreshold(self):
+        """
+        Gets the value of threshold or its default value.
+        """
+        return self.getOrDefault(self.threshold)
+
+
 class HasWeightCol(Params):
     """
     Mixin for param weightCol: weight column name. If this is not set or empty, we treat all instance weights as 1.0.