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node {
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checkout scm
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def dockerimage = docker.build("dockerfile_titanic")
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dockerimage.inside {
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stage('Preparation') {
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properties([
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parameters([
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string(
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defaultValue: 'wiktorbombola',
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description: 'Kaggle username',
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name: 'KAGGLE_USERNAME',
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trim: false
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),
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password(
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defaultValue: '',
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description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
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name: 'KAGGLE_KEY'
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),
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string(
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2023-05-10 16:56:56 +02:00
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defaultValue: '900',
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description: 'Number of head lines to be taken from test file',
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name: 'CUTOFF',
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trim: false)
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])
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])
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}
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stage('Build') {
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}",
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"CUTOFF=${params.CUTOFF}"]) {
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2023-05-24 14:41:56 +02:00
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sh "echo ${params.KAGGLE_KEY}"
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2023-04-08 23:34:44 +02:00
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sh "./script.sh ${CUTOFF}"
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}
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}
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stage('artifacts') {
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echo 'saving artifacts'
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archiveArtifacts 'output.csv'
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}
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2023-05-10 16:48:04 +02:00
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stage('Trigger Learning pipeline') {
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build job: './s470618-training', wait:false
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}
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}
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2023-04-08 23:34:44 +02:00
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}
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2023-04-08 23:10:02 +02:00
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