evaluation_metric: Custom evaluation metrics
In fdavidcl/ruta: Implementation of Unsupervised Neural Architectures
evaluation_metric R Documentation
Custom evaluation metrics
Description
Create a different evaluation metric from a valid Keras metric
Usage
evaluation_metric(evaluate_f)
Arguments
evaluate_f
Must be either a metric function defined by Keras (e.g.
keras::metric_binary_crossentropy) or a valid function for Keras to
create a performance metric (see \link[keras]{metric_binary_accuracy}
for details)
Value
A function which can be called with parameters learner and data
just like the ones defined in \link[ruta]{evaluate}.
See Also
\link[ruta]{evaluate}
fdavidcl/ruta documentation built on July 5, 2023, 6:32 p.m.
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| evaluation_metric | R Documentation |
Custom evaluation metrics
Description
Create a different evaluation metric from a valid Keras metric
Usage
evaluation_metric(evaluate_f)
Arguments
evaluate_f |
Must be either a metric function defined by Keras (e.g.
|
Value
A function which can be called with parameters learner and data
just like the ones defined in \link[ruta]{evaluate}.
See Also
\link[ruta]{evaluate}
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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