validation_after_training_cb: Validation after training callback
In GenomeNet/deepG: Deep Learning for Genome Sequence Data
validation_after_training_cb R Documentation
Validation after training callback
Description
Do validation only once at end of training.
Usage
validation_after_training_cb(gen.val, validation_steps)
Arguments
gen.val
Validation generator
validation_steps
Number of validation steps.
Value
Keras callback, apply validation only after training.
Examples
maxlen <- 20
model <- create_model_lstm_cnn(layer_lstm = 8, maxlen = maxlen)
gen <- get_generator(train_type = 'dummy_gen', model = model, batch_size = 4, maxlen = maxlen)
vat <- validation_after_training_cb(gen.val = gen, validation_steps = 10)
GenomeNet/deepG documentation built on Dec. 24, 2024, 12:11 p.m.
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| validation_after_training_cb | R Documentation |
Validation after training callback
Description
Do validation only once at end of training.
Usage
validation_after_training_cb(gen.val, validation_steps)
Arguments
gen.val |
Validation generator |
validation_steps |
Number of validation steps. |
Value
Keras callback, apply validation only after training.
Examples
maxlen <- 20
model <- create_model_lstm_cnn(layer_lstm = 8, maxlen = maxlen)
gen <- get_generator(train_type = 'dummy_gen', model = model, batch_size = 4, maxlen = maxlen)
vat <- validation_after_training_cb(gen.val = gen, validation_steps = 10)
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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