Table Of Contents

LinearRegressionModel new

__init__(self, name=None)

Create a ‘new’ instance of a Linear Regression model.

Parameters:

name : unicode (default=None)

User supplied name.
Returns:

: <bound method AtkEntityType.__name__ of <trustedanalytics.rest.jsonschema.AtkEntityType object at 0x7f9e68702090>>

Linear Regression [R24] is used to model the relationship between a scalar dependent variable and one or more independent variables. The Linear Regression model is initialized, trained on columns of a frame and used to predict the value of the dependent variable given the independent observations of a frame. This model runs the MLLib implementation of Linear Regression [R25] with the SGD [R26] optimizer.

footnotes

[R24]https://en.wikipedia.org/wiki/Linear_regression
[R25]https://spark.apache.org/docs/1.3.0/mllib-linear-methods.html#linear-least-squares-lasso-and-ridge-regression
[R26]https://en.wikipedia.org/wiki/Stochastic_gradient_descent
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  • Last updated on Sep 24, 2015.