QSAR_NN_model: Moleculors Neural network.
In FedericoViv/Moleculors:
Description
Usage
Arguments
Examples
Description
This function takes as input the descriptor matrix, the predicted values
and return the performance in prediction of a neural network with one hidden layer
the train_split argument will determine how data are divided for train/test/validation.
Usage
1
QSAR_NN_model(descriptor, predictor, train_split = 0.75, hl = 4, lr = 0.1)
Arguments
train_split
train test split ratio for the input data
hl
number of nodes in the hidden layer
Examples
1
FedericoViv/Moleculors documentation built on Jan. 17, 2022, 12:23 a.m.
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Description Usage Arguments Examples
Description
This function takes as input the descriptor matrix, the predicted values and return the performance in prediction of a neural network with one hidden layer the train_split argument will determine how data are divided for train/test/validation.
Usage
1 | QSAR_NN_model(descriptor, predictor, train_split = 0.75, hl = 4, lr = 0.1)
|
Arguments
train_split |
train test split ratio for the input data |
hl |
number of nodes in the hidden layer |
Examples
1 |
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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