from sklearn.metrics import f1_score import numpy as np #function to compute f1 score def evaluate_f1_score(pred, label): pred = np.round(pred, 0).astype(np.int16) pred = pred.flatten() label = label.flatten() return f1_score(y_pred=pred, y_true=label)
