rename feature_reduction to text_feature_reduction (#1414)

* rename `auto-sklearn/autosklearn/pipeline/components/data_preprocessing/feature_reduction` to `auto-sklearn/autosklearn/pipeline/components/data_preprocessing/text_feature_reduction`. also rename corresponding feature reduction class FeatureReduction to TextFeatureReduction. `auto-sklearn/autosklearn/pipeline/components/data_preprocessing/text_feature_reduction/truncated_svd.py:TextFeatureReduction` This includes adapting all *csv and *json participating in metalearning The "real" changes are limited to 1. truncated_svd.py 2. feature_type_text.py * rename `auto-sklearn/autosklearn/pipeline/components/data_preprocessing/feature_reduction` to `auto-sklearn/autosklearn/pipeline/components/data_preprocessing/text_feature_reduction`. also rename corresponding feature reduction class FeatureReduction to TextFeatureReduction. `auto-sklearn/autosklearn/pipeline/components/data_preprocessing/text_feature_reduction/truncated_svd.py:TextFeatureReduction` This includes adapting all *csv and *json participating in metalearning The "real" changes are limited to 1. truncated_svd.py 2. feature_type_text.py
automl · Mar 3, 2022 · 457e50c · 457e50c
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diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/configurations.csv b/autosklearn/metalearning/files/root_mean_squared_error_regression_dense/configurations.csv
diff --git a/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/configurations.csv b/autosklearn/metalearning/files/root_mean_squared_error_regression_sparse/configurations.csv
diff --git a/autosklearn/pipeline/components/data_preprocessing/feature_type_text.py b/autosklearn/pipeline/components/data_preprocessing/feature_type_text.py
@@ -5,12 +5,12 @@
 from sklearn.base import BaseEstimator
 
 from autosklearn.pipeline.base import DATASET_PROPERTIES_TYPE, BasePipeline
-from autosklearn.pipeline.components.data_preprocessing.feature_reduction.truncated_svd import (  # noqa: 501
-    FeatureReduction,
-)
 from autosklearn.pipeline.components.data_preprocessing.text_encoding import (
     BagOfWordChoice,
 )
+from autosklearn.pipeline.components.data_preprocessing.text_feature_reduction.truncated_svd import (  # noqa: 501
+    TextFeatureReduction,
+)
 from autosklearn.pipeline.constants import DENSE, INPUT, SPARSE, UNSIGNED_DATA
 
 
@@ -126,7 +126,10 @@ def _get_pipeline_steps(
                         default_dataset_properties, random_state=self.random_state
                     ),
                 ),
-                ("feature_reduction", FeatureReduction(random_state=self.random_state)),
+                (
+                    "text_feature_reduction",
+                    TextFeatureReduction(random_state=self.random_state),
+                ),
             ]
         )
         return steps

diff --git a/...eprocessing/feature_reduction/__init__.py → ...essing/text_feature_reduction/__init__.py b/...eprocessing/feature_reduction/__init__.py → ...essing/text_feature_reduction/__init__.py
diff --git a/...essing/feature_reduction/truncated_svd.py → ...g/text_feature_reduction/truncated_svd.py b/...essing/feature_reduction/truncated_svd.py → ...g/text_feature_reduction/truncated_svd.py
@@ -10,7 +10,7 @@
 from autosklearn.pipeline.constants import DENSE, INPUT, SPARSE, UNSIGNED_DATA
 
 
-class FeatureReduction(AutoSklearnPreprocessingAlgorithm):
+class TextFeatureReduction(AutoSklearnPreprocessingAlgorithm):
     """
     Reduces the features created by a bag of words encoding
     """
@@ -25,7 +25,7 @@ def __init__(
 
     def fit(
         self, X: PIPELINE_DATA_DTYPE, y: Optional[PIPELINE_DATA_DTYPE] = None
-    ) -> "FeatureReduction":
+    ) -> "TextFeatureReduction":
         if X.shape[1] > self.n_components:
             self.preprocessor = TruncatedSVD(
                 n_components=self.n_components, random_state=self.random_state

diff --git a/test/test_metalearning/pyMetaLearn/test_meta_base_data/configurations.csv b/test/test_metalearning/pyMetaLearn/test_meta_base_data/configurations.csv