2022-03-21 11:01:23 +01:00
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pipeline {
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2022-04-03 19:31:33 +02:00
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agent {
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2022-04-03 20:15:35 +02:00
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dockerfile {
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2022-04-03 20:22:15 +02:00
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additionalBuildArgs '-t ium'
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args '-e KAGGLE_USERNAME=${params.KAGGLE_USERNAME} -e KAGGLE_KEY=${params.KAGGLE_KEY}'
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2022-04-03 20:15:35 +02:00
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}
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2022-04-03 19:31:33 +02:00
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}
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2022-03-27 11:48:04 +02:00
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parameters {
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string (
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defaultValue: 'kamilguttmann',
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description: 'Kaggle username',
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name: 'KAGGLE_USERNAME',
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trim: false
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2022-03-27 11:52:05 +02:00
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)
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2022-03-27 11:48:04 +02:00
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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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2022-03-27 12:25:33 +02:00
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string(
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defaultValue: "260000",
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description: 'Use CUTOFF random examples from dataset',
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name: 'CUTOFF'
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)
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2022-03-27 11:48:04 +02:00
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}
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2022-03-21 11:01:23 +01:00
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stages {
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stage('Hello') {
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steps {
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echo 'Hello World'
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}
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2022-03-27 11:52:05 +02:00
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}
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2022-03-27 11:48:04 +02:00
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stage("Download data") {
|
2022-03-27 11:56:52 +02:00
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steps {
|
2022-04-03 20:27:15 +02:00
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sh "./download_data.sh"
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sh "python3 clean_and_split_data.py"
|
2022-04-10 18:34:20 +02:00
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archiveArtifacts artifacts: "crime_test.csv, crime_dev.csv, crime_train.csv", onlyIfSuccessful: true
|
2022-05-03 14:40:26 +02:00
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build job: "s444380-training/master"
|
2022-04-03 20:22:15 +02:00
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}
|
2022-03-21 11:01:23 +01:00
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}
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}
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}
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