2022-04-24 16:04:46 +02:00
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pipeline {
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agent {
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dockerfile true
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}
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stages {
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stage('Stage 1') {
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steps {
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sh 'chmod u+x ./process_dataset.py'
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echo 'Processing dataset...'
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sh 'python3 process_dataset.py'
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echo 'Dataset processed'
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echo 'Archiving clean train and test datasets...'
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archiveArtifacts artifacts: 'lego_sets_clean_train.csv, lego_sets_clean_test.csv'
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echo 'Datasets archived'
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2022-04-24 16:40:42 +02:00
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echo 'Launching the s449288-training job...'
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2022-04-25 22:46:43 +02:00
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2022-04-24 16:04:46 +02:00
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}
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}
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}
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}
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