LinearRegressor - Maple Help

DeepLearning

 LinearRegressor
 construct a linear regressor

 Calling Sequence LinearRegressor(fc,opts)

Parameters

 fc - list of FeatureColumn objects opts - (optional) one or more keyword options described below

Options

 • optimizer : function or Optimizer object
 Specifies the optimizer to use to train the model. The default is the FTRL optimizer.

Description

 • The LinearRegressor(fc,opts) command creates a linear classifier for the feature columns specified in fc.
 • This function is part of the DeepLearning package, so it can be used in the short form LinearRegressor(..) only after executing the command with(DeepLearning). However, it can always be accessed through the long form of the command by using DeepLearning[LinearRegressor](..).

Compatibility

 • The DeepLearning[LinearRegressor] command was introduced in Maple 2018.