53 lines
1.5 KiB
Groovy
53 lines
1.5 KiB
Groovy
pipeline {
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agent {
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dockerfile true
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}
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parameters {
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string(
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defaultValue: '10000',
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name: 'CUTOFF',
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description: 'Liczba wierszy do obcięcia ze zbioru danych')
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string(
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defaultValue: '',
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name: 'KAGGLE_USERNAME',
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description: 'Kaggle username')
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password(
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defaultValue: '',
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name: 'KAGGLE_KEY',
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description: 'Kaggle API key')
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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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checkout([$class: 'GitSCM', branches: [[name: '*/main']], userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s464962/ium_464962']]])
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}
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}
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stage('Download') {
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steps {
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withEnv([
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"KAGGLE_USERNAME=${env.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${env.KAGGLE_KEY}"
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]) {
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sh "bash ./create-dataset.sh ${params.CUTOFF}"
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}
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}
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}
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stage('Train and predict') {
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steps {
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sh "chmod +x ./model.py"
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sh "chmod +x ./predict.py"
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sh "python ./model.py"
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sh "python ./predict.py"
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archiveArtifacts artifacts: 'car_prices_predict_model.h5, predicted_selling_prices.csv', onlyIfSuccessful: true
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}
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}
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stage('Archive Results') {
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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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}
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} |