def __init__(self, training_data_dir):
self.training_data_dir = training_data_dir
self.__trained_weights = None
self.__x_train = None
self.__x_test = None
self.__y_train = None
self.__y_test = None
# finding the min max scalar
self.__min_max_scalar = Utils.calculate_min_max_np_scalar(
pd.read_csv(training_data_dir))
def __init__(self, training_data_dir):
self.__max_iter = 400
self.__hidden_layer_size = 16
self.training_data_dir = training_data_dir
self.__mlp_classifier = MLPClassifier()
self.__x_train = None
self.__x_test = None
self.__y_train = None
self.__y_test = None
# calculating the min max scalar for normalization
self.__min_max_scalar = Utils.calculate_min_max_np_scalar(
pd.read_csv(training_data_dir))