def build_regressor_SKLearn(self, trainDataFile): processor = ATTPlainHitProcessor() regressor = ATTSkLearnHitRegressor(processor) (hits_training_values, Y) = regressor.collect_train_hits_from_file(trainDataFile) #print "Train Values: ", np.shape(hits_training_values), np.shape(Y) regressor.train(hits_training_values, Y) return regressor
def build_regressor_SKLearn(): processor = ATTPlainHitProcessor() regressor = ATTSkLearnHitRegressor(processor) (hits_training_values, Y) = regressor.collect_train_hits_from_file(TRAIN_DATA_FILE) print "Train Values: ", np.shape(hits_training_values), np.shape(Y) regressor.train(hits_training_values, Y) return regressor
def build_regressor_2(): processor = ATTPlainHitProcessor() regressor = ATTSkLearnHitRegressor(processor) TRAIN_VALUES_FILE_LEFT = "../data/train_points_20160129_left.txt" (hits_training_values, Y) = regressor.collect_train_hits_from_file(TRAIN_VALUES_FILE_LEFT) print "Train Values: ", np.shape(hits_training_values), np.shape(Y) regressor.train(hits_training_values, Y) return regressor