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SGD Calibrated Binary Classifier

The SGD Calibrated trains a linear classification model using the parallel stochastic gradient descent (SGD) method. The SGD is an iterative algorithm that optimizes a differentiable objective function.

Inputs

NameIDDescriptionType
L2 RegularizationL2 RegularizationThe L2 regularization weight.Number
Number of IterationsIterationsThe maximum number of passes through the training dataset; set to 1 to simulate online learning.Integer
Learning RateLearningThe initial learning rate used by SGD.Number

Outputs

NameIDDescriptionType
Trainer TypeTrainer TypeThe trainer used for machine learning problems.Generic

Video Tutorials

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