add multipieline project

lab06/Dockerfile

@@ -0,0 +1,6 @@
+FROM ubuntu:latest
+RUN apt-get update && apt-get install -y python3-pip && pip3 install setuptools && pip3 install numpy && pip3 install pandas && pip3 install wget && pip3 install scikit-learn && pip3 install matplotlib  && rm -rf /var/lib/apt/lists/*
+RUN pip3 install torch torchvision torchaudio
+RUN pip3 install sacred && pip3 install GitPython && pip3 install pymongo
+WORKDIR /app
+COPY ./../pytorch-example.py ./

lab06/jenkinsfile-train

@@ -0,0 +1,52 @@
+pipeline {
+   agent {
+      dockerfile true
+   }
+   parameters{
+      buildSelector(
+            defaultSelector: lastSuccessful(),
+            description: 'Which build to use for copying artifacts',
+            name: 'WHICH_BUILD'
+        )
+        string(
+            defaultValue: '16',
+            description: 'batch size',
+            name: 'BATCH_SIZE'
+        )
+        string(
+            defaultValue: '15',
+            description: 'epochs',
+            name: 'EPOCHS'
+
+        )
+   }
+   stages {
+      stage('checkout') {
+            steps {
+               copyArtifacts fingerprintArtifacts: true, projectName: 's440058-create-dataset', selector: buildParameter('WHICH_BUILD')
+            }
+        }
+      stage('Docker'){
+         steps{
+            sh 'python3 "./pytorch-example.py" ${BATCH_SIZE} ${EPOCHS} > pred.txt'
+         }
+      }
+      stage('archiveArtifacts') {
+			steps{
+                archiveArtifacts 'ium_s440058/**'
+				archiveArtifacts 'pred.txt'
+                archiveArtifacts 'diabetes.pkl'
+			}
+		}
+    }
+    post {
+        success {
+            mail body: 'SUCCESS TRAINING', subject: 's440058', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
+        }
+
+        failure {
+            mail body: 'FAILURE TRAINING', subject: 's440058', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
+        }
+
+   }
+}