utils/cal_classify_accuracy.py
def predict(X, threshold):
    '''X is sigmoid output of the model'''
    X_p = np.copy(X)
    preds = (X_p > threshold).astype('uint8')
    return preds
X is sigmoid output of the model
X is sigmoid output of the model
X is sigmoid output of the model
def predict(X, threshold):
    X_p = np.copy(X)
    preds = (X_p > threshold).astype('uint8')
    return preds
def predict ( X , threshold ) : X_p = np . copy ( X ) preds = ( X_p > threshold ) . astype ( 'uint8' ) return preds
X is sigmoid output of the model
X is sigmoid output of the model
'''X is sigmoid output of the model'''
X
threshold