work on lab6

Jenkinsfile_dataset_for_LAB6

@@ -0,0 +1,18 @@
+pipeline {
+    agent {
+        dockerfile true
+        }
+    stages {
+        stage('Stage 1') {
+            steps {
+				    sh 'chmod u+x ./process_dataset.py'
+                    echo 'Processing dataset...'
+                    sh 'python3 process_dataset.py'
+					echo 'Dataset processed'
+					echo 'Archiving clean train and test datasets...' 
+					archiveArtifacts artifacts: 'lego_sets_clean_train.csv, lego_sets_clean_test.csv'
+					echo 'Datasets archived'
+				}
+            }
+        }		
+}

lab6/Dockerfile

@@ -11,6 +11,4 @@ RUN pip3 install tensorflow
 RUN pip3 install matplotlib
 RUN pip3 install keras
 
-COPY ./lego_sets.csv ./
-COPY ./process_dataset.py ./
 COPY ./simple_regression.py ./

lab6/Jenkinsfile

@@ -5,10 +5,10 @@ pipeline {
     stages {
         stage('Stage 1') {
             steps {
-				    sh 'chmod u+x ./process_dataset.py ./simple_regression.py'
-                    echo 'Processing dataset...'
-                    sh 'python3 process_dataset.py'
-					echo 'Dataset processed'
+				    sh 'chmod u+x ./simple_regression.py'
+					echo 'Copying datasets from create-dataset...'
+					copyArtifacts filter: '*', projectName: 's449288-create-dataset'
+					echo 'Datasets copied'
 					echo 'Conducting simple regression model test'
 					sh 'python3 simple_regression.py'
 					echo 'Model predictions saved'