39 lines
1.6 KiB
Plaintext
39 lines
1.6 KiB
Plaintext
node {
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docker.image('s444452/ium:1.2').inside {
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stage('Preparation') {
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properties([
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parameters([
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string(
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defaultValue: 'adamosiowy',
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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 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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string(
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defaultValue: "10000",
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description: 'Determine the size of dataset',
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name: 'CUTOFF'
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)
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])
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])
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}
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stage('Clone repository') {
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checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[credentialsId: '5e0a58a0-03ad-41dd-beff-7b8a07c7fe0c', url: 'https://git.wmi.amu.edu.pl/s444452/ium_444452.git']]])
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}
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stage('Run script') {
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}","CUTOFF=${params.CUTOFF}"]) {
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sh "python3 download_dataset.py '.' 'dataset.csv'"
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sh "python3 train_neural_network.py '.'"
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}
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}
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stage('Archive artifacts') {
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archiveArtifacts "dataset.csv, train_data.csv, test_data.csv, dev_data.csv, neural_network_evaluation.txt"
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}
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}
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} |