2022-04-01 22:40:28 +02:00
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pipeline {
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parameters {
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string(
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defaultValue: 'marcinkostrzewski',
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description: 'Kaggle username',
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name: 'KAGGLE_USERNAME',
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trim: false
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)
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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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agent {
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dockerfile {
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2022-05-07 10:34:33 +02:00
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additionalBuildArgs "--build-arg KAGGLE_USERNAME=${params.KAGGLE_USERNAME} --build-arg KAGGLE_KEY=${params.KAGGLE_KEY} -t s444409-create-dataset"
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2022-04-01 22:40:28 +02:00
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}
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}
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2022-05-05 21:40:34 +02:00
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2022-04-01 22:40:28 +02:00
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stages {
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2022-05-05 21:40:34 +02:00
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stage('Archive dataset and run training') {
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2022-04-01 22:40:28 +02:00
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steps {
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2022-05-05 21:40:34 +02:00
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archiveArtifacts artifacts: 'data/*', onlyIfSuccessful: true
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build job: 's444409-training/main/'
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2022-04-01 22:40:28 +02:00
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}
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}
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}
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}
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