import numpy as np
from probe_ably.core.metrics import AbstractIntraModelMetric
from sklearn.metrics import accuracy_score
[docs]class AccuracyMetric(AbstractIntraModelMetric):
[docs] def calculate_metrics(
self, targets: np.array, predicitons: np.array, **kwargs
) -> float:
"""Calculates and returns accruacy score
Args:
targets (np.array): Gold target scores
predicitons (np.array): Predictions data
Returns:
float: Returns accuracy score
"""
return accuracy_score(targets, predicitons)
[docs] def metric_name(self):
"""Returns the name of metric. Used for visualization purposes
Returns:
str: Metric name
"""
return "Accuracy"