immuneML.ml_metrics package

Submodules

immuneML.ml_metrics.Metric module

class immuneML.ml_metrics.Metric.Metric(value)

Bases: enum.Enum

An enumeration.

ACCURACY = 'accuracy_score'

AUC = 'roc_auc_score'

BALANCED_ACCURACY = 'balanced_accuracy_score'

CONFUSION_MATRIX = 'confusion_matrix'

F1_MACRO = 'f1_score_macro'

F1_MICRO = 'f1_score_micro'

F1_WEIGHTED = 'f1_score_weighted'

LOG_LOSS = 'log_loss'

PRECISION = 'precision_score'

RECALL = 'recall_score'

static get_probability_based_metric_types()

static get_search_criterion(metric)

static get_sklearn_score_name(metric)

immuneML.ml_metrics.ml_metrics module

immuneML.ml_metrics.ml_metrics.f1_score_macro(true_y, predicted_y)

immuneML.ml_metrics.ml_metrics.f1_score_micro(true_y, predicted_y)

immuneML.ml_metrics.ml_metrics.f1_score_weighted(true_y, predicted_y)

immuneML.ml_metrics.ml_metrics.roc_auc_score(true_y, predicted_y)

Module contents