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base: s487197:79f0ab18db8e9c2f0e6bee0469561a4f90117b47
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compare: s487197:90ea83a9f0e6b2d2870d4c21c3b24de1cb71d80f
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79f0ab18db ... 90ea83a9f0

4 changed files with 3 additions and 4 deletions
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1
Dockerfile
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@ -1,7 +1,6 @@
FROM ubuntu:latest FROM ubuntu:latest
RUN apt update && apt install -y figlet RUN apt update && apt install -y figlet
RUN apt install unzip -y
RUN apt install python3-pip -y RUN apt install python3-pip -y
RUN pip3 install kaggle RUN pip3 install kaggle

2
Jenkinsfile_train
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@ -10,7 +10,7 @@ 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:34') def testImage = docker.image('s487197/ium:33')
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_train.py" sh "python3 ium_train.py"

2
ium_predict.py
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@ -26,7 +26,7 @@ def get_x_y(data):
def predict(): def predict():
model = load_model('baltimore_model.h5') model = load_model('baltimore_model3')
train = pd.read_csv('baltimore_train.csv') train = pd.read_csv('baltimore_train.csv')
baltimore_data_test = pd.read_csv('baltimore_test.csv') baltimore_data_test = pd.read_csv('baltimore_test.csv')

2
ium_train.py
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@ -48,7 +48,7 @@ def train_model():
validation_split=0.2) validation_split=0.2)
hist = pd.DataFrame(history.history) hist = pd.DataFrame(history.history)
hist['epoch'] = history.epoch hist['epoch'] = history.epoch
model.save('baltimore_model.h5') model.save('baltimore_model3')
train_model() train_model()