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