48 lines
1.3 KiB
Plaintext
48 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('First'){
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steps {
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copyArtifacts filter: '*', projectName: 's478815-create-dataset'
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sh 'python3 ./DL.py'
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archiveArtifacts artifacts: 'modelP.pkl', followSymlinks: false
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}
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}
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}
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post {
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success {
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emailext body: 'SUCCESS', subject: 's478815-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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failure {
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emailext body: 'FAILURE', subject: 's478815-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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} |