2024-03-20 14:29:57 +01:00
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pipeline {
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agent any
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2024-03-26 18:29:52 +01:00
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parameters {
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string (
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name: 'KAGGLE_USERNAME',
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defaultValue: 'ardenw',
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description: 'Kaggle username'
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)
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password (
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2024-04-02 20:24:31 +02:00
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name: 'API_KEY',
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2024-03-26 18:29:52 +01:00
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defaultValue: '',
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description: 'Kaggle API key'
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)
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string (
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name: 'DATA_TRAIN_RATIO',
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2024-03-26 18:45:26 +01:00
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defaultValue: '80',
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description: 'Train data ratio percentage'
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2024-03-26 18:29:52 +01:00
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)
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string (
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name: 'CUTOFF',
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defaultValue: '500',
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description: 'Cutoff value'
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)
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}
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2024-03-20 14:29:57 +01:00
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stages {
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2024-03-20 14:58:46 +01:00
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stage('Checkout repository') {
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2024-03-20 14:29:57 +01:00
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steps {
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2024-03-26 18:29:52 +01:00
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checkout scm
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2024-03-20 14:58:46 +01:00
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}
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}
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2024-04-02 20:24:31 +02:00
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stage('Download dataset') {
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steps {
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2024-05-28 21:22:01 +02:00
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withCredentials([string(credentialsId: 'ium-sftp-password', variable: 'IUM_SFTP_PASS')]) {
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sh 'dvc remote add -d ium_ssh_remote ssh://ium-sftp@tzietkiewicz.vm.wmi.amu.edu.pl/ium-sftp'
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sh 'dvc remote modify --local ium_ssh_remote password $IUM_SFTP_PASS'
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sh 'dvc pull'
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}
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2024-04-02 20:24:31 +02:00
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}
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}
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}
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2024-04-02 20:02:32 +02:00
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stage('Prepare dataset') {
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agent {
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dockerfile {
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filename 'Dockerfile'
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reuseNode true
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}
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}
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2024-03-20 14:58:46 +01:00
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steps {
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2024-04-02 20:02:32 +02:00
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sh "chmod +x ./get_dataset.py"
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2024-04-02 20:24:31 +02:00
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sh "python ./get_dataset.py"
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2024-04-02 20:02:32 +02:00
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archiveArtifacts artifacts: 'dataset.csv,df_train.csv,df_test.csv', onlyIfSuccessful: true
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}
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2024-03-20 14:29:57 +01:00
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}
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2024-05-14 21:54:36 +02:00
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stage('Run training'){
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steps{
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script {
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build(job: 's464980-training/master')
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}
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2024-05-14 21:56:39 +02:00
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}
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2024-05-14 21:54:36 +02:00
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}
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2024-05-14 21:57:31 +02:00
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}
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2024-03-26 18:34:28 +01:00
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}
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