.

Dockerfile

@@ -17,6 +17,7 @@ WORKDIR /ium
 COPY ./ium-data.py ./
 COPY ./download.sh ./
 COPY ./biblioteki_ml.py ./
+COPY ./eval.py ./
 
 ARG KAGGLE_KEY
 ARG KAGGLE_USERNAME

evaluation.Jenkinsfile

@@ -3,40 +3,38 @@ pipeline {
 	    docker {image 'zadanie'}
 	}
 	parameters {
+	    gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'BRANCH', type: 'PT_BRANCH'
 		buildSelector(
 			defaultSelector: lastSuccessful(),
 			description: 'Which build to use for copying artifacts',
 			name: 'BUILD_SELECTOR'
 		)
-		string(
-            defaultValue: '100',
-            description: 'number of epochs',
-            name: 'EPOCH'
-        )
 	}
     stages {
 
 		stage('Copy artifacts') {
 			steps {
 			    copyArtifacts fingerprintArtifacts: true, projectName: 's444501-create-dataset', selector: buildParameter('BUILD_SELECTOR')
+                copyArtifacts fingerprintArtifacts: true, projectName: 's444501-training/${BRANCH}', selector: buildParameter('BUILD_SELECTOR')
+                copyArtifacts fingerprintArtifacts: true, projectName: 's444501-evaluation/master', selector: buildParameter('BUILD_SELECTOR'), optional: true
 			}
 		}
-        stage('Train model') {
+        stage('Evaluate model') {
             steps {
-                withEnv(["EPOCH=${params.EPOCH}"]) {
-				    sh 'python biblioteki_ml.py $EPOCH'
+                withEnv([]) {
+				    sh 'python eval.py'
 				}
 			}
 		}
 		stage('Archive model') {
             steps {
-				archiveArtifacts artifacts: 'model.pkl, neural_network_prediction_results.csv'
+				archiveArtifacts artifacts: 'eval_results.json, metrics.png'
 			}
 		}
 	}
 	post {
         always {
-            emailext body: "${currentBuild.currentResult}", subject: 's444501-training', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
+            emailext body: "${currentBuild.currentResult}", subject: 's444501-evaluation', to: 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
         }
     }
 }

training.Jenkinsfile

@@ -33,6 +33,11 @@ pipeline {
 				archiveArtifacts artifacts: 'model.pkl, neural_network_prediction_results.csv'
 			}
 		}
+		stage ('Model - evaluation') {
+            steps {
+                build job: 's444501-evaluation/master', wait: false
+            }
+        }
 	}
 	post {
         always {