Dodanie 'Jenkinsfile_mlflow'

Jenkinsfile_mlflow

@@ -0,0 +1,41 @@
+pipeline {
+  	agent {
+		docker { image 'korneliag/ium478815:1.0' }
+		}
+	  }
+     parameters {
+		string(
+			defaultValue: 'kgirejko',
+			description: 'Kaggle username',
+            name: 'KAGGLE_USERNAME',
+            trim: false
+		)
+
+		password(
+			defaultValue: '51854c15661583860a60db232a7026f0',
+            description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
+            name: 'KAGGLE_KEY'
+		)
+		
+		string(
+            defaultValue: '1000',
+            description: 'Number of epochs',
+            name: 'EPOCHS',
+            trim: false
+        )
+     }
+
+   stages {
+	stage('Main train'){
+		steps {
+            copyArtifacts filter: '*', projectName: 's478815-create-dataset'
+			sh 'python3 ./train-mlflow.py with "epochs=$EPOCHS"'
+			
+			#archiveArtifacts artifacts: 'modelS.pkl, output.txt'
+			
+			#build job: 's478815-evaluation/master/'
+		}
+	}
+    }
+
+}