LogisticsRegression Class
LogisticsRegression module. This module is used output layer.After trainging all hidden layers, this module is tuned for fitting to training data
Constructor
LogisticsRegression
()
Methods
predict
(
-
x
Predict label with training data
Parameters:
-
x
Matrixinput data
train
(
-
lr
-
l2Reg
-
input
Training logistics regression algorithm
Parameters:
-
lr
Floatlearning rate
-
l2Reg
Floatregularization parameter
-
input
Matrixinput 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