add new jenkinsfile with training

Jenkinsfile_training

@@ -1,58 +1,48 @@
 pipeline {
-    parameters {
+   agent  any
+   parameters{
          string(
-            defaultValue: '64',
-            description: 'Batch size used in gradient',
-            name: 'BATCHSIZE',
-            trim: true
-        )
-        string(
-            defaultValue: '5',
-            description: 'Number of iterations',
+            defaultValue: '300',
+            description: 'EPOCHS',
             name: 'EPOCHS',
-            trim: true
-        )
-        gitParameter branchFilter: 'origin/(.*)', defaultValue: 'main', name: 'BRANCH', type: 'PT_BRANCH'
-        buildSelector(
-			defaultSelector: lastSuccessful(),
-			description: 'Which build to use for copying artifacts',
-			name: 'BUILD_SELECTOR'
+            trim: false
          )
     }
-
-    agent {
-        docker {
-            image 's444439-create-dataset'
-        }
-    }
-
     stages {
-        stage('Train model') {
+      stage('Clear_Before') {
          steps {
-                sh "python neutral_network.py -e ${params.EPOCHS} -b ${params.BATCHSIZE}"
+            sh 'rm -rf *'
          }
       }
+      stage('Clone') {
+         steps {
+            sh 'git clone https://git.wmi.amu.edu.pl/s444439/ium_z444439'
+         }
       }
 
-    environment {
-        NOTIFICATION_ADDRESS = 'e19191c5.uam.onmicrosoft.com@emea.teams.ms'
-    }
-
-    post {
-        success {
-            emailext body: 'SUCCESS', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
-        }
-
-        failure {
-            emailext body: 'FAILURE', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
-        }
-
-        unstable {
-            emailext body: 'UNSTABLE', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
-        }
-
-        changed {
-            emailext body: 'CHANGED', subject: "${env.JOB_NAME}", to: "${env.NOTIFICATION_ADDRESS}"
+      stage('copy_artifacts') {
+         steps {
+            copyArtifacts(projectName: 'z-s444439-create-dataset', fingerprintArtifacts: true)
+         }
+      }
+      stage('Docker') {
+         agent {
+            dockerfile {
+               filename 'Dockerfile'
+               dir      'ium_z444439'
+               reuseNode true
+            }
+         }
+         steps {
+                  sh 'python ./ium_z444439/train.py'
+                  archiveArtifacts 'model/'
+                  archiveArtifacts 'X_test.csv'
+                  archiveArtifacts 'Y_test.csv'
+         }
+      }
+      stage('Clear_After') {
+         steps {
+            sh 'rm -rf *'
+         }
       }
    }
-}

train.py

@@ -24,3 +24,7 @@ def main():
     adult_model.fit(adults_train, adults_predict, epochs=500)
 
     adult_model.save('model')
+
+
+if __name__ == "__main__":
+    main()