From e3d5fa89f139b57a8605e2183d1e4a06e2386cc7 Mon Sep 17 00:00:00 2001
From: Mateusz <matpiw1@st.amu.edu.pl>
Date: Mon, 1 Apr 2024 17:09:39 +0200
Subject: [PATCH] Dockerfile

---
 Jenkinsfile       |  2 +-
 create-dataset.py | 22 +++++++++++-----------
 2 files changed, 12 insertions(+), 12 deletions(-)

diff --git a/Jenkinsfile b/Jenkinsfile
index 81562f1..8340e67 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -31,7 +31,7 @@ pipeline {
     }
     stage('Archive Artifacts') {
       steps {
-        archiveArtifacts artifacts: '/data/*', onlyIfSuccessful: true
+        archiveArtifacts artifacts: 'data/*', onlyIfSuccessful: true
       }
     }
   }
diff --git a/create-dataset.py b/create-dataset.py
index 97fef25..e4ebc8c 100644
--- a/create-dataset.py
+++ b/create-dataset.py
@@ -72,11 +72,11 @@ def save_undersample_data(
     y_train_undersample,
     y_test_undersample,
 ):
-    undersample_data.to_csv("/data/undersample_data.csv", index=False)
-    X_train_undersample.to_csv("/data/X_train_undersample.csv", index=False)
-    X_test_undersample.to_csv("/data/X_test_undersample.csv", index=False)
-    y_train_undersample.to_csv("/data/y_train_undersample.csv", index=False)
-    y_test_undersample.to_csv("/data/y_test_undersample.csv", index=False)
+    undersample_data.to_csv("data/undersample_data.csv", index=False)
+    X_train_undersample.to_csv("data/X_train_undersample.csv", index=False)
+    X_test_undersample.to_csv("data/X_test_undersample.csv", index=False)
+    y_train_undersample.to_csv("data/y_train_undersample.csv", index=False)
+    y_test_undersample.to_csv("data/y_test_undersample.csv", index=False)
 
 
 def split_whole_data(df):
@@ -90,16 +90,16 @@ def split_whole_data(df):
 
 
 def save_whole_data(df, X_train, X_test, y_train, y_test):
-    df.to_csv("/data/creditcard.csv", index=False)
-    X_train.to_csv("/data/X_train.csv", index=False)
-    X_test.to_csv("/data/X_test.csv", index=False)
-    y_train.to_csv("/data/y_train.csv", index=False)
-    y_test.to_csv("/data/y_test.csv", index=False)
+    df.to_csv("data/creditcard.csv", index=False)
+    X_train.to_csv("data/X_train.csv", index=False)
+    X_test.to_csv("data/X_test.csv", index=False)
+    y_train.to_csv("data/y_train.csv", index=False)
+    y_test.to_csv("data/y_test.csv", index=False)
 
 
 def main():
     download_kaggle_dataset()
-    os.makedirs("/data", exist_ok=True)
+    os.makedirs("data", exist_ok=True)
 
     df = load_data("creditcard.csv")
     df = normalize_data(df)