59 lines
1.5 KiB
Plaintext
59 lines
1.5 KiB
Plaintext
pipeline {
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parameters {
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string(
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defaultValue: '64',
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description: 'Batch size used in ADAM',
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name: 'BATCHSIZE',
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trim: true
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)
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string(
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defaultValue: '5',
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description: 'Number of iterations',
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name: 'EPOCHS',
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trim: true
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)
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}
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agent {
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docker {
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image 's444409-create-dataset'
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}
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}
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stages {
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stage('Train model') {
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steps {
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sh "python train_model.py -e ${params.EPOCHS} -b ${params.BATCHSIZE}"
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}
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}
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stage('Archive model and evaluate it') {
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steps {
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archiveArtifacts artifacts: 'model_out', onlyIfSuccessful: true
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build job: 's444409-evaluation'
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}
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}
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}
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environment {
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NOTIFICATION_ADDRESS = 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
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}
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post {
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success {
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emailext body: 'SUCCESS', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
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}
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failure {
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emailext body: 'FAILURE', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
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}
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unstable {
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emailext body: 'UNSTABLE', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
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}
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changed {
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emailext body: 'CHANGED', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
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}
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}
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}
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