47 lines
1.3 KiB
Plaintext
47 lines
1.3 KiB
Plaintext
pipeline {
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agent {
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docker {
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image 'docker_image'
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args '-v /mlruns:/mlruns'
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}
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}
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parameters {
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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('Copy artifacts'){
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steps {
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copyArtifacts filter: '*', projectName: 's444018-create-dataset'
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}
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}
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stage('Train model with sacred') {
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steps {
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sh 'python3 ./biblioteka_DL/dllib.py "$EPOCHS"'
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archiveArtifacts artifacts: 'model.pkl, result.csv', followSymlinks: false
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archiveArtifacts artifacts: 'mlruns/**'
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archiveArtifacts artifacts: 'my_model/**'
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build job: 's444018-evaluation/master/'
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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: 's444018-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: 's444018-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: 's444018-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: 's444018-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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}
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