mlquality
qoa4ml.probes.mlquality
¶
Functions¶
classification_confidence(data, score=True)
¶
Compute classification confidence from model output scores or logits.
timeseries_metric(model)
¶
Retrieve all metrics from a Keras Sequential timeseries model.
training_loss(model)
¶
Retrieve the training loss history from a Keras Sequential model.
training_metric(model)
¶
Retrieve the full training history from a Keras Sequential model.
training_val_accuracy(model)
¶
Retrieve the validation accuracy history from a Keras Sequential model.
training_val_loss(model)
¶
Retrieve the validation loss history from a Keras Sequential model.
ts_inference_loss(model)
¶
Retrieve the loss metric from a timeseries model.
ts_inference_mae(model)
¶
Retrieve the mean absolute error metric from a timeseries model.
ts_inference_metric(model, name)
¶
Retrieve a specific inference metric by name from a timeseries model.