| # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"). You | |
| # may not use this file except in compliance with the License. A copy of | |
| # the License is located at | |
| # | |
| # http://aws.amazon.com/apache2.0/ | |
| # | |
| # or in the "license" file accompanying this file. This file 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. | |
| from __future__ import absolute_import | |
| import os | |
| import pandas as pd | |
| from sklearn.externals import joblib | |
| from sklearn.linear_model import LogisticRegression | |
| if __name__ == "__main__": | |
| training_data_directory = "/opt/ml/input/data/train" | |
| train_features_data = os.path.join(training_data_directory, "train_features.csv") | |
| train_labels_data = os.path.join(training_data_directory, "train_labels.csv") | |
| X_train = pd.read_csv(train_features_data, header=None) | |
| y_train = pd.read_csv(train_labels_data, header=None) | |
| model = LogisticRegression(class_weight="balanced", solver="lbfgs") | |
| model.fit(X_train, y_train) | |
| model_output_directory = os.path.join("/opt/ml/model", "model.joblib") | |
| joblib.dump(model, model_output_directory) | |