immuneML.ml_metrics package¶

Submodules¶

immuneML.ml_metrics.ClassificationMetric module¶

class immuneML.ml_metrics.ClassificationMetric.ClassificationMetric(value, names=None, *, module=None, qualname=None, type=None, start=1, boundary=None)[source]¶

Bases: Enum

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_metric(metric_name: str)[source]¶

static get_probability_based_metric_types()[source]¶

static get_search_criterion(metric)[source]¶

static get_sklearn_score_name(metric)[source]¶

immuneML.ml_metrics.ClusteringMetric module¶

immuneML.ml_metrics.ClusteringMetric.is_external(metric: str)[source]¶

immuneML.ml_metrics.ClusteringMetric.is_internal(metric: str)[source]¶

immuneML.ml_metrics.MetricUtil module¶

immuneML.ml_metrics.ml_metrics module¶

Module contents¶