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Jenkinsfile
vendored
@ -20,13 +20,16 @@ pipeline {
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)
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)
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}
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}
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environment {
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KAGGLE_USERNAME = "${params.KAGGLE_USERNAME}"
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KAGGLE_KEY = "${params.KAGGLE_KEY}"
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}
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stages {
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stages {
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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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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 $KAGGLE_USERNAME'
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sh 'python3 ./create-dataset.py $KAGGLE_USERNAME $KAGGLE_KEY'
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}
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}
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}
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}
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}
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stage('Archive Artifacts') {
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stage('Archive Artifacts') {
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@ -10,8 +10,8 @@ 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.environ["KAGGLE_USERNAME"] = "vskyper"
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os.environ["KAGGLE_USERNAME"] = sys.argv[1]
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os.environ["KAGGLE_KEY"] = sys.argv[1]
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os.environ["KAGGLE_KEY"] = sys.argv[2]
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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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