rename nyaggle.model to nyaggle.validation

README.md

@@ -97,7 +97,7 @@ from lightgbm import LGBMClassifier
 from sklearn.datasets import make_classification
 from sklearn.metrics import roc_auc_score
 
-from nyaggle.model.cv import cv
+from nyaggle.validation.cv import cv
 
 X, y = make_classification(n_samples=1024, n_features=20, class_sep=0.98, random_state=0)
 

docs/source/nyaggle.rst

@@ -21,10 +21,10 @@ nyaggle.feature.nlp module
     :imported-members:
     :show-inheritance:
 
-nyaggle.model module
+nyaggle.validation module
 -----------------------
 
-.. automodule:: nyaggle.model
+.. automodule:: nyaggle.validation
     :members:
     :imported-members:
     :show-inheritance:

nyaggle/experiment/gbdt.py

@@ -12,7 +12,7 @@ from lightgbm import LGBMClassifier, LGBMRegressor
 from sklearn.metrics import roc_auc_score, mean_squared_error
 from sklearn.utils.multiclass import type_of_target
 
-from nyaggle.model.cv import cv
+from nyaggle.validation.cv import cv
 from nyaggle.util import plot_importance
 
 

nyaggle/model/__init__.py

@@ -1 +0,0 @@
-from nyaggle.model.cv import cv

nyaggle/validation/__init__.py

@@ -0,0 +1 @@
+from nyaggle.validation.cv import cv

nyaggle/validation/cv.py

@@ -65,7 +65,7 @@ def cv(estimator: Union[BaseEstimator, List[BaseEstimator]],
         >>> from sklearn.datasets import make_regression
         >>> from sklearn.linear_model import Ridge
         >>> from sklearn.metrics import mean_squared_error
-        >>> from nyaggle.model import cv
+        >>> from nyaggle.validation import cv
 
         >>> X, y = make_regression(n_samples=8)
         >>> model = Ridge(alpha=1.0)

tests/validation/test_cv.py

@@ -7,7 +7,7 @@ from sklearn.linear_model import RidgeClassifier, Ridge
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import roc_auc_score, r2_score
 
-from nyaggle.model.cv import cv
+from nyaggle.validation.cv import cv
 from nyaggle.testing import make_classification_df