train model
All checks were successful
s444452-training/pipeline/head This commit looks good

This commit is contained in:
AdamOsiowy123 2022-05-02 18:25:14 +02:00
parent df03835740
commit 17a1d512cd

View File

@ -3,6 +3,7 @@ node {
docker.image('s444452/ium:1.3').inside {
stage('Preparation') {
properties([
pipelineTriggers([upstream(threshold: hudson.model.Result.SUCCESS, upstreamProjects: "s444452-create-dataset")]),
parameters([
string(
defaultValue: ".",
@ -12,6 +13,11 @@ node {
])
])
}
stage('Copy artifacts') {
copyArtifacts filter: 'train_data.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset'
copyArtifacts filter: 'test_data.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset'
copyArtifacts filter: 'dev_data.csv', fingerprintArtifacts: true, projectName: 's444452-create-dataset'
}
stage('Run script') {
withEnv(["TRAIN_ARGS=${params.TRAIN_ARGS}"]) {
sh "python3 Scripts/train_neural_network.py $TRAIN_ARGS"