ium_444386/Jenkinsfile_train

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pipeline {
agent {
dockerfile true
}
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parameters {
string(
defaultValue: '2',
description: 'learning iterations',
name: 'epoch'
)
}
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stages {
stage('Stage 1') {
steps {
copyArtifacts filter: 'data.csv', fingerprintArtifacts: true, projectName: 's444386-create-dataset', selector: lastSuccessful()
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sh 'chmod u+x ./biblioteki_dl.py'
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sh 'python3 biblioteki_dl.py $epoch'
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sh 'tar -czf model.tar.gz model/'
archiveArtifacts 'model.tar.gz'
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archiveArtifacts 'xtest.csv'
archiveArtifacts 'ytest.csv'
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}
}
}
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post {
success {
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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}
failure {
emailext body: 'FAILURE', subject: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
}
unstable {
emailext body: 'UNSTABLE', subject: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
}
changed {
emailext body: 'CHANGED', subject: 's444386-train-status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
}
}
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}