update import path for feature engineering examples (#3274)

examples/feature_engineering/gbdt_selector/gbdt_selector_test.py

@@ -22,7 +22,7 @@ import numpy as np
 from sklearn.datasets import load_svmlight_file
 from sklearn.model_selection import train_test_split
 
-from nni.feature_engineering.gbdt_selector import GBDTSelector
+from nni.algorithms.feature_engineering.gbdt_selector import GBDTSelector
 
 url_zip_train = 'https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/binary/rcv1_train.binary.bz2'
 urllib.request.urlretrieve(url_zip_train, filename='train.bz2')

examples/feature_engineering/gradient_feature_selector/benchmark_test.py

@@ -33,7 +33,7 @@ from sklearn.linear_model import LogisticRegression
 from sklearn.ensemble import ExtraTreesClassifier
 from sklearn.feature_selection import SelectFromModel
 
-from nni.feature_engineering.gradient_selector import FeatureGradientSelector
+from nni.algorithms.feature_engineering.gradient_selector import FeatureGradientSelector
 
 
 class Benchmark():

examples/feature_engineering/gradient_feature_selector/sklearn_test.py

@@ -28,7 +28,7 @@ from sklearn.linear_model import LogisticRegression
 from sklearn.ensemble import ExtraTreesClassifier
 from sklearn.feature_selection import SelectFromModel
 
-from nni.feature_engineering.gradient_selector import FeatureGradientSelector
+from nni.algorithms.feature_engineering.gradient_selector import FeatureGradientSelector
 
 
 def test():
@@ -54,4 +54,4 @@ def test():
     print("Pipeline Score: ", pipeline.score(X_train, y_train))
 
 if __name__ == "__main__":
-    test()
+    test()