ium_444507/Jenkinsfile_training

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pipeline {
agent {
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docker {
image 's444507_create_dataset_image:latest'
args '-v /mlruns:/mlruns'
}
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}
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parameters {
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string(name: 'epoch', defaultValue: '100', description: 'Number of epochs to train model.')
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}
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stages {
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stage('Get artifacts') {
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steps {
copyArtifacts fingerprintArtifacts: true, projectName: 's444507-create-dataset', selector: lastSuccessful()
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}
}
stage('Run mlflow script and save artifacts') {
steps {
sh "python3 lab08_deepLearining_mlflow.py $epoch"
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}
}
}
post {
always {
emailext body: "${currentBuild.currentResult}", subject: 's444507-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
}
}
}