74 lines
1.6 KiB
Groovy
74 lines
1.6 KiB
Groovy
pipeline {
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agent any
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parameters {
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string (
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defaultValue: 'vskyper',
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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 API key',
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name: 'KAGGLE_KEY',
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)
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}
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stages {
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stage('Clone Repository') {
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steps {
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git branch: 'main', url: 'https://git.wmi.amu.edu.pl/s464913/ium_464913.git'
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}
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}
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stage('Download dataset') {
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steps {
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
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sh 'pip install kaggle'
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sh 'kaggle datasets download -d mlg-ulb/creditcardfraud'
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sh 'unzip -o creditcardfraud.zip'
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sh 'rm creditcardfraud.zip'
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}
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}
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}
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stage('Run create-dataset script') {
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agent {
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dockerfile {
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reuseNode true
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}
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}
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steps {
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sh 'chmod +x create-dataset.py'
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sh 'python3 ./create-dataset.py'
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}
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}
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stage('Archive Artifacts from create-dataset') {
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steps {
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archiveArtifacts artifacts: 'data/*', onlyIfSuccessful: true
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}
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}
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stage('Experiments') {
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agent {
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dockerfile {
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reuseNode true
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}
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}
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steps {
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sh 'chmod +x sacred/sacred_train_evaluation.py'
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sh 'python3 sacred/sacred_train_evaluation.py'
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}
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}
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stage('Archive Artifacts from Experiments') {
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steps {
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archiveArtifacts artifacts: 'experiments/**/*.*', onlyIfSuccessful: true
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}
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}
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}
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} |