fit.brnn: Build Bayesian Regularized Neural Network Model
In PaoloBnn/Retip: Retention Time Prediction for Metabolomics
fit.brnn R Documentation
Build Bayesian Regularized Neural Network Model
Description
Build Bayesian Regularized Neural Network Model
Usage
## S3 method for class 'brnn'
fit(t)
Arguments
t
A training dataset with calculated Chemical Descriptors
Value
Returns a trained model ready to predict
Examples
brnn <- fit.brnn(training)
PaoloBnn/Retip documentation built on June 8, 2024, 6:19 a.m.
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| fit.brnn | R Documentation |
Build Bayesian Regularized Neural Network Model
Description
Build Bayesian Regularized Neural Network Model
Usage
## S3 method for class 'brnn'
fit(t)
Arguments
t |
A training dataset with calculated Chemical Descriptors |
Value
Returns a trained model ready to predict
Examples
brnn <- fit.brnn(training)
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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