Update train.py

train.py

@@ -54,19 +54,20 @@ def main():
     # TODO: Create TabularDataset using TabularDatasetFactory
     # Data is located at:
     # "https://automlsamplenotebookdata.blob.core.windows.net/automl-sample-notebook-data/bankmarketing_train.csv"
+    data_path="https://automlsamplenotebookdata.blob.core.windows.net/automl-sample-notebook-data/bankmarketing_train.csv"
 
-    ds = ### YOUR CODE HERE ###
+    ds = TabularDatasetFactory.from_delimited_files(path=data_path)
 
     x, y = clean_data(ds)
 
     # TODO: Split data into train and test sets.
 
-    ### YOUR CODE HERE ###a
+    x_train,x_test,y_train, y_test=train_test_splits(x,y,test_size=0.2,random_state=42)
 
     model = LogisticRegression(C=args.C, max_iter=args.max_iter).fit(x_train, y_train)
 
     accuracy = model.score(x_test, y_test)
     run.log("Accuracy", np.float(accuracy))
 
 if __name__ == '__main__':
-    main()
+    main()