4.3 v1

Jenkinsfile-create-dataset-docker

@@ -0,0 +1,50 @@
+pipeline {
+    agent  any
+    parameters{
+     string(
+         defaultValue: 'piotrwrzodak',
+         description: 'Kaggle username',
+         name: 'KAGGLE_USERNAME',
+         trim: false
+     )
+     password(
+         defaultValue: '',
+         description: 'Kaggle token taken from kaggle.json file, as described in https://github.com/Kaggle/kaggle-api#api-credentials',
+         name: 'KAGGLE_KEY'
+     )
+     string(
+         defaultValue: '100',
+         description: 'CUTOFF',
+         name: 'CUTOFF',
+         trim: false
+     )
+    }
+    stages {
+        stage('checkout: Check out from version control') {
+            steps {
+                checkout scm
+            }
+        }
+        stage('Build') {
+            steps {
+                withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}", "KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
+                   sh 'kaggle datasets download -d thedevastator/airbnb-prices-in-european-cities'
+                   sh 'unzip airbnb-prices-in-european-cities.zip -d data'
+                }
+            }
+        }
+        stage('Docker') {
+            agent {
+                dockerfile {
+                   filename 'Dockerfile'
+                   dir      'ium_z444510'
+                   reuseNode true
+                }
+            }
+            steps {
+                sh: 'ls -a'
+                archiveArtifacts artifacts: 'barcelona_weekends.train.csv, barcelona_weekends.dev.csv, barcelona_weekends.test.csv', fingerprint: true
+            }
+        }
+   }
+}

create-dataset.py

@@ -12,9 +12,9 @@ data = data.iloc[:, 1:]
 train_set, dev_set, test_set = np.split(data.sample(frac=1, random_state=42),
                                         [int(.6 * len(data)), int(.8 * len(data))])
 
-train_set.to_csv('train.csv', index=False)
+train_set.to_csv('barcelona_weekends.train.csv', index=False)
-dev_set.to_csv('dev.csv', index=False)
+dev_set.to_csv('barcelona_weekends.dev.csv', index=False)
-test_set.to_csv('test.csv', index=False)
+test_set.to_csv('barcelona_weekends.test.csv', index=False)
 
 
 check = pd.read_csv('./train.csv')