2024-03-20 14:48:24 +01:00
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pipeline {
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2024-03-29 10:47:21 +01:00
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agent {
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dockerfile true
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}
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2024-03-20 15:07:08 +01:00
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parameters {
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2024-03-20 15:04:37 +01:00
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string(
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defaultValue: 'worldwidepaniel',
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description: 'Kaggle username',
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name: 'KAGGLE_USERNAME',
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trim: false
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2024-03-20 15:09:42 +01:00
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)
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2024-03-20 17:02:31 +01:00
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string(
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defaultValue: '6',
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description: 'Take only first {CUTOFF} values from dataset',
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name: 'CUTOFF',
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trim: false
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)
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2024-03-20 15:04:37 +01:00
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password(
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defaultValue: '',
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description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
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name: 'KAGGLE_KEY'
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)
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}
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2024-03-20 14:48:24 +01:00
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stages {
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2024-03-20 15:04:37 +01:00
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stage('Download data') {
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2024-03-20 14:58:28 +01:00
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steps {
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2024-03-20 17:41:33 +01:00
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withEnv(["KAGGLE_USERNAME=${KAGGLE_USERNAME}",
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"KAGGLE_KEY=${KAGGLE_KEY}" ]) {
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2024-03-29 15:34:52 +01:00
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sh 'jupyter execute Data_download.ipynb'
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2024-03-20 15:14:56 +01:00
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sh 'chmod 777 ./data_download.sh'
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2024-03-20 17:41:33 +01:00
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sh './data_download.sh --cutoff ${CUTOFF}'
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2024-03-20 18:18:48 +01:00
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archiveArtifacts artifacts: 'test_without_id_column.csv,cutoff_train.csv,test.csv,train.csv', followSymlinks: false
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2024-03-20 15:04:37 +01:00
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}
|
2024-03-20 14:58:28 +01:00
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}
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2024-03-20 14:48:24 +01:00
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}
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}
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}
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