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This commit is contained in:
Wojciech Lidwin 2023-05-12 03:48:36 +02:00
parent 13881f1708
commit ff882d9109
2 changed files with 9 additions and 3 deletions
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2
Jenkinsfile_train
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@ -25,7 +25,7 @@ node {
checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[credentialsId: 's487197', url: 'https://git.wmi.amu.edu.pl/s487197/ium_487197']]]) checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[credentialsId: 's487197', url: 'https://git.wmi.amu.edu.pl/s487197/ium_487197']]])
} }
stage('Dockerfile'){ stage('Dockerfile'){
def testImage = docker.image('s487197/ium:41') def testImage = docker.image('s487197/ium:42')
testImage.inside{ testImage.inside{
copyArtifacts filter: 'baltimore_train.csv', projectName: 's487197-create-dataset' copyArtifacts filter: 'baltimore_train.csv', projectName: 's487197-create-dataset'
sh "python3 ium_sacred.py -epochs $EPOCHS -lr $LR -validation_split $VALIDATION_SPLIT" sh "python3 ium_sacred.py -epochs $EPOCHS -lr $LR -validation_split $VALIDATION_SPLIT"

10
ium_sacred.py
View File

@ -75,7 +75,12 @@ def my_main(epochs, lr, validation_split, _run):
validation_split=validation_split) validation_split=validation_split)
hist = pd.DataFrame(history.history) hist = pd.DataFrame(history.history)
hist['epoch'] = history.epoch hist['epoch'] = history.epoch
print(hist)
for his in hist:
_run.log_scalar('training.loss', his['loss'])
_run.log_scalar('accuracy', his['accuracy'])
ex.add_artifact('baltimore_model')
"""
baltimore_data_test =pd.read_csv('baltimore_test.csv') baltimore_data_test =pd.read_csv('baltimore_test.csv')
baltimore_data_test.columns = train.columns baltimore_data_test.columns = train.columns
baltimore_data_test, x_test, y_test = get_x_y(baltimore_data_test) baltimore_data_test, x_test, y_test = get_x_y(baltimore_data_test)
@ -101,8 +106,9 @@ def my_main(epochs, lr, validation_split, _run):
_run.log_scalar('accuracy', data['accuracy']) _run.log_scalar('accuracy', data['accuracy'])
_run.log_scalar('rmse', data['rmse']) _run.log_scalar('rmse', data['rmse'])
_run.log_scalar('accuracy', data['accuracy']) _run.log_scalar('accuracy', data['accuracy'])
"""
ex.add_artifact('baltimore_model')
ex.run() ex.run()