Predictor (`chamois.predictor`)#

Predictor of chemical classes from genomic features.

Predictor#

A model for predicting chemical hierarchy from BGC compositions.

`information_accretion`	Compute the information accretion using frequencies from the given labels.
`remaining_uncertainty_score`	Compute the remaining uncertainty score for a prediction.
`misinformation_score`	Compute the misinformation score for a prediction.
`semantic_distance_score`
`information_theoric_curve`	Return the information theoric curve for the predictions.
`weighted_information_theoric_curve`	Return the weighted information theoric curve for the predictions.
`weighted_precision_recall_curve`