Train-Neural_Network-data.frame-numeric-numeric-numeric-method: train the NN
In DamianSiniakowicz/DamiaNN: Neural Network Numerai
Description
Usage
Arguments
Value
Description
gets NN parameters that minimize cost on dataset using optimization_method
Usage
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## S4 method for signature 'Neural_Network,data.frame,numeric,numeric,numeric'
Train(object,
dataset, regularization_constant, learning_rate, tolerable_error)
Arguments
object
is a Neural Network
dataset
is a data.frame, the original data frame that includes the target
regularization_constant
is a numeric
learning_rate
is a numeric
tolerable_error
is a numeric, units : log loss
Value
Neural_Network
DamianSiniakowicz/DamiaNN documentation built on July 8, 2020, 11:52 p.m.
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Description Usage Arguments Value
Description
gets NN parameters that minimize cost on dataset using optimization_method
Usage
1 2 3 | ## S4 method for signature 'Neural_Network,data.frame,numeric,numeric,numeric'
Train(object,
dataset, regularization_constant, learning_rate, tolerable_error)
|
Arguments
object |
is a Neural Network |
dataset |
is a data.frame, the original data frame that includes the target |
regularization_constant |
is a numeric |
learning_rate |
is a numeric |
tolerable_error |
is a numeric, units : log loss |
Value
Neural_Network
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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