[#64] Rename mice -> buck_iterative

eltonlaw · Jul 11, 2019 · fde2f71 · fde2f71
1 parent 11c9d11
commit fde2f71
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Showing 4 changed files with 9 additions and 9 deletions.
diff --git a/impyute/__init__.py b/impyute/__init__.py
@@ -22,7 +22,7 @@
 from impyute.imputation.cs import mode
 from impyute.imputation.cs import em
 from impyute.imputation.cs import fast_knn
-from impyute.imputation.cs import mice
+from impyute.imputation.cs import buck_iterative
 from impyute.imputation.cs import random
 
 __all__.extend([
@@ -31,7 +31,7 @@
     "mode",
     "em",
     "fast_knn",
-    "mice",
+    "buck_iterative",
     "random"
 ])
 

diff --git a/impyute/imputation/cs/__init__.py b/impyute/imputation/cs/__init__.py
@@ -6,9 +6,9 @@
 from .central_tendency import mean
 from .central_tendency import mode
 from .central_tendency import median
-from .mice import mice
+from .buck_iterative import buck_iterative
 from .em import em
 from .fast_knn import fast_knn
 
 __all__ = ["random", "mean", "mode",
-           "median", "mice", "em", "fast_knn"]
+           "median", "buck_iterative", "em", "fast_knn"]
diff --git a/impyute/imputation/cs/mice.py → impyute/imputation/cs/buck_iterative.py b/impyute/imputation/cs/mice.py → impyute/imputation/cs/buck_iterative.py
@@ -1,4 +1,4 @@
-""" impyute.imputation.cs.mice """
+""" impyute.imputation.cs.buck_iterative """
 import numpy as np
 from sklearn.linear_model import LinearRegression
 from impyute.util import find_null
@@ -10,7 +10,7 @@
 
 @preprocess
 @checks
-def mice(data, **kwargs):
+def buck_iterative(data, **kwargs):
     """Multivariate Imputation by Chained Equations
 
     Reference:

diff --git a/test/imputation/cs/test_mice.py → test/imputation/cs/test_buck_iterative.py b/test/imputation/cs/test_mice.py → test/imputation/cs/test_buck_iterative.py
@@ -1,4 +1,4 @@
-"""test_mice.py"""
+"""test_buck_iterative.py"""
 import unittest
 import numpy as np
 import impyute as impy
@@ -25,12 +25,12 @@ def setUp(self):
 
     def test_return_type(self):
         """ Check return type, should return an np.ndarray"""
-        imputed = impy.mice(self.data_m)
+        imputed = impy.buck_iterative(self.data_m)
         self.assertTrue(isinstance(imputed, np.ndarray))
 
     def test_impute_missing_values(self):
         """ After imputation, no NaN's should exist"""
-        imputed = impy.mice(self.data_m)
+        imputed = impy.buck_iterative(self.data_m)
         self.assertFalse(np.isnan(imputed).any())
 
 if __name__ == "__main__":