mlflow first try

Jenkinsfile_mlflow

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+pipeline {
+    agent { 
+        dockerfile  true
+    }
+
+    parameters {
+        string(
+            defaultValue: 'kamilab0bkowska',
+            description: 'kaggle username',
+            name: 'KAGGLE_USERNAME',
+            trim: false
+             )
+        password(
+            defaultValue: '',
+            description: 'kaggle passowrd',
+            name: 'KAGGLE_KEY'
+        )
+    }
+
+    stages {
+        stage('Stage 1') {
+            steps {
+                echo 'Hello world!' 
+            }
+        }
+
+        stage('Run mlflow on nn_train') {
+            steps {
+                withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
+                "KAGGLE_KEY=${params.KAGGLE_KEY}"]) {
+                    sh 'python3 ./nn_train_mlflow.py'
+                    archiveArtifacts artifacts: 'mlruns/**'
+                    sh 'rm -r mlruns'
+                }
+            }
+        }
+    }
+}
+