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@ -24,9 +24,7 @@ pipeline {
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stage('Run create-dataset script') {
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stage('Run create-dataset script') {
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steps {
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steps {
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withEnv (["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
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withEnv (["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
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sh 'mkdir /root/.kaggle'
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sh 'echo $KAGGLE_USERNAME'
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sh 'echo "{\"username\":\"$KAGGLE_USERNAME\",\"key\":\"$KAGGLE_KEY\"}" > /root/.kaggle/kaggle.json'
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sh 'chmod 600 /root/.kaggle/kaggle.json'
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sh 'chmod +x create-dataset.py'
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sh 'chmod +x create-dataset.py'
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sh 'python3 ./create-dataset.py'
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sh 'python3 ./create-dataset.py'
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}
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}
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@ -9,7 +9,6 @@ from sklearn.model_selection import train_test_split
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def download_kaggle_dataset():
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def download_kaggle_dataset():
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os.system("/root/.kaggle/kaggle.json")
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kaggle = KaggleApi()
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kaggle = KaggleApi()
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kaggle.authenticate()
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kaggle.authenticate()
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kaggle.dataset_download_files("mlg-ulb/creditcardfraud", path="./", unzip=True)
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kaggle.dataset_download_files("mlg-ulb/creditcardfraud", path="./", unzip=True)
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