Calculating the value of the cost function and accuracy

get_cost_value.py

def get_cost_value(Y_hat, Y):
    m = Y_hat.shape[1]
    cost = -1 / m * (np.dot(Y, np.log(Y_hat).T) + np.dot(1 - Y, np.log(1 - Y_hat).T))
    return np.squeeze(cost)

def get_accuracy_value(Y_hat, Y):
    Y_hat_ = convert_prob_into_class(Y_hat)
    return (Y_hat_ == Y).all(axis=0).mean()

Where is the convert_prob_into_class function defined?

i am not sure but i think it is

def convert_prob_into_class(probs):
         probs_ = np.copy(probs)
         probs_[probs_ > 0.5] = 1
         probs_[probs_ <= 0.5] = 0
         return probs_