40 lines
1.3 KiB
Plaintext
40 lines
1.3 KiB
Plaintext
pipeline {
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agent {
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dockerfile true
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}
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parameters {
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string(
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defaultValue: '5',
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description: 'learning iterations',
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name: 'epoch'
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)
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}
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stages {
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stage('Stage 1') {
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steps {
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copyArtifacts filter: 'data.csv', fingerprintArtifacts: true, projectName: 's444386-create-dataset', selector: lastSuccessful()
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sh 'chmod u+x ./sacred_training.py'
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sh 'python3 sacred_training.py $epoch'
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sh 'tar -czf model.tar.gz model/'
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archiveArtifacts 'model.tar.gz'
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archiveArtifacts 'xtest.csv'
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archiveArtifacts 'ytest.csv'
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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: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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build job: 's444386-evaluation/training-evaluation/'
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}
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failure {
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emailext body: 'FAILURE', subject: 's444386-train-status', 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: 's444386-train-status', 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: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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} |