| #------------------------------------------------------------- |
| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| # |
| #------------------------------------------------------------- |
| |
| import sys |
| import numpy as np |
| from scipy.io import mmread, mmwrite |
| from scipy.sparse import csc_matrix |
| from sklearn.preprocessing import RobustScaler |
| |
| if __name__ == "__main__": |
| input_path = sys.argv[1] + "A.mtx" |
| output_path = sys.argv[2] + "B" |
| |
| X = mmread(input_path).toarray() |
| |
| # Apply RobustScaler |
| scaler = RobustScaler() |
| Y = scaler.fit_transform(X) |
| |
| mmwrite(output_path, csc_matrix(Y)) |