mlflow
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@ -13,7 +13,7 @@ pipeline {
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stage('Docker and Training'){
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steps {
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script {
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def dockerImage = docker.image('s487194/ium:lab5_6')
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def dockerImage = docker.image('s487194/ium:1')
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dockerImage.inside {
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sh "python train.py -epochs ${params.EPOCHS} -lr ${params.LR}"
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archiveArtifacts artifacts: 'classificationn_model.pt', onlyIfSuccessful: true
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