46 lines
1.3 KiB
Plaintext
46 lines
1.3 KiB
Plaintext
pipeline {
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agent {
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dockerfile {
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additionalBuildArgs "--build-arg KAGGLE_USERNAME=${params.KAGGLE_USERNAME} --build-arg KAGGLE_KEY=51854c15661583860a60db232a7026f0 --build-arg CUTOFF=${params.CUTOFF} -t kgirejko"
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}
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}
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parameters {
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string(
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defaultValue: 'kgirejko',
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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: '51854c15661583860a60db232a7026f0',
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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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string(
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defaultValue: '1000',
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description: 'Number of epochs',
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name: 'EPOCHS',
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trim: false
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)
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}
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stages {
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stage('Main train'){
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steps {
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copyArtifacts filter: '*', projectName: 's478815-create-dataset'
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sh 'python3 ./train-sacred.py with "epochs=$EPOCHS"'
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sh 'cp s478815/config.json configuration.json'
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sh 'cp s478815/info.json param.json'
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sh 'cp s478815/* modelS.pkl'
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archiveArtifacts artifacts: 'modelP.pkl, source_code.py, configuration.json, param.json, modelS.pkl'
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sh 'rm -r s478815'
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build job: 's478815-evaluation/master/'
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}
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}
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}
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} |