45 lines
1.5 KiB
Plaintext
45 lines
1.5 KiB
Plaintext
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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: '100',
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description: 'Example training parameter',
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name: 'EPOCHS_NUM'
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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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sh 'chmod u+x ./simple_regression.py'
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echo 'Copying datasets from create-dataset...'
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copyArtifacts filter: '*', projectName: 's449288-create-dataset'
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echo 'Datasets copied'
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echo 'Conducting simple regression model test'
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sh 'python3 simple_regression.py $EPOCHS_NUM'
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echo 'Model and predictions saved'
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sh 'head lego_reg_results.csv'
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sh 'ls -lh lego_reg_model'
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echo 'Archiving model...'
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sh 'tar -czf lego_reg_model.tar.gz lego_reg_model/'
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archiveArtifacts 'lego_reg_model.tar.gz'
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echo 'Model archived'
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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: 's449288-training build status', 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: 's449288-training build 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: 's449288-training build 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: 's449288-training build status', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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}
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