src.eval.deeplearn.dl_model_evaluation
Classes
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- class src.eval.deeplearn.dl_model_evaluation.DLModelEvaluation(**kwargs)
- Author:
Alberto M. Esmoris Pena
Class representing the result of evaluating a deep learning model. See
DLModelEvaluator.- Variables:
X – The input data.
y – Expected values.
yhat – Point-wise predictions.
zhat – Point-wise outputs (e.g., softmax).
activations – Point-wise activations.
Fval – The F-values for the point-wise activations wrt the expected values.
pval – The p-values for the point-wise acctivations wrt the expected values.
class_names – The name for each class.
- __init__(**kwargs)
Initialize/instantiate a DLModelEvaluation.
- Parameters:
kwargs – The attributes for the DLModelEvaluation.
- report(**kwargs)
Transform the DLModelEvaluation into a DLModelReport.
See
DLModelReport.- Returns:
The DLModelReport representing the DLModelEvaluation.
- Return type:
DLModelReport
- can_report()
See
Evaluationandevaluation.Evaluation.can_report().