32 lines
1.1 KiB
Plaintext
32 lines
1.1 KiB
Plaintext
pipeline {
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agent {
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dockerfile {
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additionalBuildArgs "--build-arg KAGGLE_USERNAME=${params.KAGGLE_USERNAME} --build-arg KAGGLE_KEY=${params.KAGGLE_KEY} --build-arg CUTOFF=${params.CUTOFF} -t sebastianwalesa"
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}
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}
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stages {
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stage('Evaluate'){
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steps {
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copyArtifacts filter: '*', projectName: 's478839-create-dataset'
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sh 'python3 ./ml_pytorch_results.py'
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archiveArtifacts artifacts: 'metrics.txt, MSE.txt, RMSplot.png', 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: 's478839-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: 's478839-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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unstable {
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emailext body: 'UNSTABLE', subject: 's478839-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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changed {
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emailext body: 'CHANGED', subject: 's478839-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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} |