Class LogisticRegressionModel

source code

            object --+    
                     |    
regression.LinearModel --+
                         |
                        LogisticRegressionModel

A linear binary classification model derived from logistic regression.

>>> data = [
...     LabeledPoint(0.0, [0.0]),
...     LabeledPoint(1.0, [1.0]),
...     LabeledPoint(1.0, [2.0]),
...     LabeledPoint(1.0, [3.0])
... ]
>>> lrm = LogisticRegressionWithSGD.train(sc.parallelize(data))
>>> lrm.predict(array([1.0])) > 0
True
>>> lrm.predict(array([0.0])) <= 0
True
>>> sparse_data = [
...     LabeledPoint(0.0, SparseVector(2, {0: 0.0})),
...     LabeledPoint(1.0, SparseVector(2, {1: 1.0})),
...     LabeledPoint(0.0, SparseVector(2, {0: 0.0})),
...     LabeledPoint(1.0, SparseVector(2, {1: 2.0}))
... ]
>>> lrm = LogisticRegressionWithSGD.train(sc.parallelize(sparse_data))
>>> lrm.predict(array([0.0, 1.0])) > 0
True
>>> lrm.predict(array([0.0, 0.0])) <= 0
True
>>> lrm.predict(SparseVector(2, {1: 1.0})) > 0
True
>>> lrm.predict(SparseVector(2, {1: 0.0})) <= 0
True