44 lines
1.3 KiB
Plaintext
44 lines
1.3 KiB
Plaintext
pipeline {
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agent {
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docker {
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image 'maciejczajka'
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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: '100',
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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('Script'){
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steps {
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copyArtifacts filter: '*', projectName: 's444356-create-dataset'
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sh "python Biblioteka_DL/dllib-mlflow.py $EPOCHS"
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archiveArtifacts artifacts: 'games_model.pkl'
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archiveArtifacts artifacts: 'mlruns/**'
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archiveArtifacts artifacts: 'my_model/**'
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sh 'rm -r mlruns'
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sh 'rm -r my_model'
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build job: 's444356-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: 's444356-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: 's444356-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: 's444356-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: 's444356-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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} |