47 lines
1.7 KiB
Plaintext
47 lines
1.7 KiB
Plaintext
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(name: 'epochs', description: 'epochs number', defaultValue: '100', trim: false)
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string(name: 'verbose', description: 'verbose number', defaultValue: '0', trim: false)
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buildSelector(defaultSelector: lastSuccessful(), description: 'Use latest build', name: 'BUILD_SELECTOR')
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gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'BRANCH', type: 'PT_BRANCH'
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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 fingerprintArtifacts: true, projectName: 's434704-create-dataset', selector: buildParameter('BUILD_SELECTOR')
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}
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}
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stage("Run training"){
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steps {
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sh "python3 training.py ${verbose} ${epochs}"
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sh "python3 sacred_exp.py"
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}
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}
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stage("Run MLFlow training"){
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steps {
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sh "rm -r movies_on_streaming_platforms_model"
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sh "python3 ml_model.py ${verbose} ${epochs}"
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}
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}
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stage('Save trained model files') {
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steps{
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archiveArtifacts 'movies_on_streaming_platforms_model/**'
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archiveArtifacts 'sacred_file/**'
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archiveArtifacts 'linear_regression.h5'
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}
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}
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}
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post {
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always {
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mail body: "TRAINING - ${currentBuild.currentResult}", subject: 's434704', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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success {
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build job: "s434704-evaluation/${params.BRANCH}", parameters: [
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gitParameter(name: 'BRANCH', value: params.BRANCH)
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], wait: false
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}
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}
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} |