Added sacred script

Dockerfile

@@ -15,6 +15,8 @@ RUN pip3 install tensorflow
 RUN pip3 install scikit-learn
 RUN pip3 install argparse
 RUN pip3 install matplotlib
+RUN pip3 install sacred
+RUN pip3 install pymongo
 
 
 WORKDIR /app
@@ -24,6 +26,7 @@ COPY ./stats.sh ./
 COPY ./data.py ./
 COPY ./ium_train.py ./
 COPY ./ium_predict.py ./
+COPY ./ium_sacred.py ./
 COPY ./baltimore_dev.csv ./
 COPY ./baltimore_test.csv ./
 COPY ./baltimore_train.csv ./

Jenkinsfile_train

@@ -25,10 +25,10 @@ node {
      checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[credentialsId: 's487197', url: 'https://git.wmi.amu.edu.pl/s487197/ium_487197']]])
  }
  stage('Dockerfile'){
-    def testImage = docker.image('s487197/ium:38')
+    def testImage = docker.image('s487197/ium:39')
 	testImage.inside{ 
          copyArtifacts filter: 'baltimore_train.csv', projectName: 's487197-create-dataset'
-		 sh "python3 ium_train.py -epochs $EPOCHS -lr $LR -validation_split $VALIDATION_SPLIT"
+		 sh "python3 ium_sacred.py -epochs $EPOCHS -lr $LR -validation_split $VALIDATION_SPLIT"
 	     archiveArtifacts artifacts: 'baltimore.zip'
 	 stage('Buil'){
      build job: 's487197-evaluation.eg/master', parameters: [string(name: 'build', value: "${currentBuild.number}")], wait:false

ium_train.py

@@ -11,7 +11,10 @@ import numpy as np
 from sklearn.preprocessing import LabelEncoder
 import argparse
 import shutil
+from sacred.observers import FileStorageObserver, MongoObserver
+from sacred import Experiment
 
+ex = Experiment('s487197-train', save_git_info=False)
 
 def get_x_y(data):
 
@@ -27,15 +30,31 @@ def get_x_y(data):
 
     return data, x, y
 
-
+@ex.config
-def train_model():
+def my_config():
-
     parser = argparse.ArgumentParser(description='Train')
 
     parser.add_argument('-epochs', type=int, default=20)
     parser.add_argument('-lr', type=float, default=0.01)
     parser.add_argument('-validation_split', type=float, default=0.2)
     args = parser.parse_args()
+    epochs=args.epochs
+    lr=args.lr
+    validation_split=args.validation_split
+    return args
+
+@ex.automain
+def train_model(config):
+
+   # parser = argparse.ArgumentParser(description='Train')
+
+   # parser.add_argument('-epochs', type=int, default=20)
+   # parser.add_argument('-lr', type=float, default=0.01)
+    #parser.add_argument('-validation_split', type=float, default=0.2)
+    ex.observers.append(FileStorageObserver('s487197'))
+
+    ex.observers.append(MongoObserver(url='mongodb://admin:IUM_2021@172.17.0.1:27017', db_name='sacred'))
+    args = config
     
     train = pd.read_csv('baltimore_train.csv')
 
@@ -62,5 +81,5 @@ def train_model():
     shutil.make_archive('baltimore', 'zip', 'baltimore_model')
 
 
-train_model()
+train_model(my_config())