shshemi/neural_knapsack_metric_space_violaltion.py

## neural_knapsack_metric_space_violaltion.py
def metric_space_violation(input_weights):
    def space_violation(y_true, y_pred):
        y_pred = K.round(y_pred)
        return K.mean(K.maximum(K.batch_dot(y_pred, input_weights, 1) - 1, 0))

    return space_violation
	def metric_space_violation(input_weights):
	def space_violation(y_true, y_pred):
	y_pred = K.round(y_pred)
	return K.mean(K.maximum(K.batch_dot(y_pred, input_weights, 1) - 1, 0))

	return space_violation