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@ -10,9 +10,9 @@ from sklearn.metrics import mean_squared_error
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from sacred.observers import MongoObserver
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ex = Experiment("434784_sacred_scopes", interactive=False, save_git_info=False)
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ex.observers.append(FileStorageObserver('sacred_runs'))
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# ex.observers.append(MongoObserver(
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# url='mongodb://mongo_user:mongo_password_IUM_2021@localhost:27017', db_name='sacred'))
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ex.observers.append(FileStorageObserver('sacred_runs/runs'))
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ex.observers.append(MongoObserver(
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url='mongodb://mongo_user:mongo_password_IUM_2021@localhost:27017', db_name='sacred'))
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@ex.config
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@ -37,7 +37,7 @@ pipeline {
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image.inside{
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sh 'chmod +x training.py'
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sh 'chmod +x sacred_training.py'
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sh 'python3 training.py ${EPOCHS} ${BATCH_SIZE}'
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// sh 'python3 training.py ${EPOCHS} ${BATCH_SIZE}'
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sh 'python3 sacred_training.py'
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}
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}
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@ -46,15 +46,15 @@ pipeline {
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stage('archive-model') {
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steps{
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archiveArtifacts 'suicide_model.h5'
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archiveArtifacts 'sacred_runs/**'
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archiveArtifacts 'sacred_runs/**'
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}
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}
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stage('send-mail') {
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steps{
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emailext body: currentBuild.result ?: 'SUCCESS',
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subject: 's434784-training',
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to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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}
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}
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// stage('send-mail') {
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// steps{
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// emailext body: currentBuild.result ?: 'SUCCESS',
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// subject: 's434784-training',
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// to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
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// }
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// }
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}
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}
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