node {
    checkout scm
    def dockerimage = docker.build("train-image", "./train-eval")
    dockerimage.inside {
 stage('Preparation') {
     properties([
         parameters([
             string(
                 defaultValue: 'default',
                 description: 'Number of head lines to be taken from test file',
                 name: 'LEARNING_PARAMETERS',
                 trim: false)
         ])
     ])
     copyArtifacts projectName: 's470618-create-dataset', filter: '*.csv', fingerprintArtifacts: true, selector: lastSuccessful(), target: '.'
 }
 stage('Build') {
     withEnv(["LEARNING_PARAMETERS=${params.LEARNING_PARAMETERS}"]) {
            sh "./learning.py ${LEARNING_PARAMETERS}"
     }
 }


 stage('artifacts') {
         echo 'saving artifacts'
         archiveArtifacts 'model.pt'
}
}
}