deephyper.nas.metrics#

This module provides different metric functions. A metric can be defined by a keyword (str) or a callable. If it is a keyword it has to be available in tensorflow.keras or in deephyper.netrics. The loss functions availble in deephyper.metrics are: * Sparse Perplexity: sparse_perplexity * R2: r2 * AUC ROC: auroc * AUC Precision-Recall: aucpr

Functions

`acc`
`load_attr`	Loadd attribute from module.
`mae`
`mse`
`r2`
`rmse`
`selectMetric`	Return the metric defined by name.
`sparse_perplexity`
`tfp_mae`
`tfp_mse`
`tfp_r2`
`tfp_rmse`
`to_tfp`	Convert a regular tensorflow-keras metric for tensorflow probability where the output is a distribution.

Classes

OrderedDict

Dictionary that remembers insertion order