ium_444501/training.Jenkinsfile
s444501 27080d10fa
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pipeline {
agent {
docker {image 'zadanie'}
}
parameters {
buildSelector(
defaultSelector: lastSuccessful(),
description: 'Which build to use for copying artifacts',
name: 'BUILD_SELECTOR'
)
string(
defaultValue: '100',
description: 'number of epochs',
name: 'EPOCH'
)
}
stages {
stage('Copy artifacts') {
steps {
copyArtifacts fingerprintArtifacts: true, projectName: 's444501-create-dataset', selector: buildParameter('BUILD_SELECTOR')
}
}
stage('Train model') {
steps {
withEnv(["EPOCH=${params.EPOCH}"]) {
sh 'python biblioteki_ml.py $EPOCH'
}
}
}
stage('Archive model') {
steps {
archiveArtifacts artifacts: 'model.pkl, neural_network_prediction_results.csv'
}
}
}
post {
always {
emailext body: "${currentBuild.currentResult}", subject: 's444501-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
}
}
}