API Docs for: 0.0.1
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LogisticsRegression Class

Module: n42

LogisticsRegression module. This module is used output layer.After trainging all hidden layers, this module is tuned for fitting to training data

Constructor

LogisticsRegression

()

Item Index

Methods

Properties

Methods

predict

(
  • x
)

Predict label with training data

Parameters:

  • x Matrix

    input data

train

(
  • lr
  • l2Reg
  • input
)

Training logistics regression algorithm

Parameters:

  • lr Float

    learning rate

  • l2Reg Float

    regularization parameter

  • input Matrix

    input data (option)

Properties

b

Vector

bias parameter which is obtained after training

input

Matrix

input data. This type is defined in sylvester library

W

Matrix

weight parameter which is obtained after training

y

Matrix

label data. This type is defined in sylvester library