Package pyspark :: Package mllib :: Module regression :: Class LinearRegressionModelBase

Class LinearRegressionModelBase

 object --+    
          |    
LinearModel --+
              |
             LinearRegressionModelBase

A linear regression model.

>>> lrmb = LinearRegressionModelBase(array([1.0, 2.0]), 0.1)
>>> abs(lrmb.predict(array([-1.03, 7.777])) - 14.624) < 1e-6
True
>>> abs(lrmb.predict(SparseVector(2, {0: -1.03, 1: 7.777})) - 14.624) < 1e-6
True

Instance Methods

predict(self, x)
Predict the value of the dependent variable given a vector x

source code

Inherited from LinearModel: __init__, intercept, weights

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Properties
Inherited from `object`: `__class__`