add sendMail and parameters

.gitignore

@@ -61,5 +61,6 @@ data.csv
 test.csv
 train.csv
 dev.csv
-stat.txt
+*.txt
 .venv/
+model.h5

Jenkinsfile-train

@@ -7,6 +7,16 @@ pipeline {
             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 {
@@ -15,7 +25,13 @@ pipeline {
             steps
             {
                 copyArtifacts(fingerprintArtifacts: true, projectName: 's434760-create-dataset', selector: buildParameter('WHICH_BUILD'))
-                sh 'python3.8 train.py'
+            }
+        }
+        stage('train')
+        {
+            steps
+            {
+                sh 'python3.8 train.py ${params.BATCH_SIZE} ${params.EPOCHS}'
             }
         }
         stage('archive artifacts') {
@@ -23,5 +39,10 @@ pipeline {
                 archiveArtifacts 'model.h5'
             }
         }
+        stage('send email') {
+            emailext body: 'build status: ${currentBuild.result}',
+            subject: 's434760 - train',
+            to: 'annnow19@st.amu.edu.pl'
+        }
     }
 }

evaluation_result.txt

@@ -1,2 +0,0 @@
-Train: 25.844615936279297
-Test: 25.38555335998535

train.py

@@ -2,6 +2,7 @@ import pandas as pd
 from os import path
 from tensorflow import keras
 from tensorflow.keras import layers
+import sys
 
 model_name = "model.h5"
 train_data=pd.read_csv('train.csv')
@@ -30,8 +31,8 @@ else:
     history = model.fit(
         X,
         Y,
-        batch_size=16,
-        epochs=15,
+        batch_size=int(sys.argv[1]),
+        epochs=int(sys.argv[2]),
     )
 
     model.save(model_name)