pep8, history

sdpython · Jun 3, 2020 · d828df4 · d828df4
1 parent fbf54c1
commit d828df4
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diff --git a/HISTORY.rst b/HISTORY.rst
@@ -5,7 +5,7 @@
 History
 =======
 
-current - 2020-05-28 - 0.00Mb
+current - 2020-06-01 - 0.00Mb
 =============================
 
 * `75`: Moves kmeans with constraint from papierstat. (2020-05-27)

diff --git a/mlinsights/__init__.py b/mlinsights/__init__.py
@@ -4,7 +4,7 @@
 @brief Module *mlinsights*.
 Look for insights for machine learned models.
 """
-__version__ = "0.2.444"
+__version__ = "0.2.445"
 __author__ = "Xavier Dupré"
 __github__ = "https://github.com/sdpython/mlinsights"
 __url__ = "http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html"

diff --git a/mlinsights/mlmodel/_kmeans_constraint_.py b/mlinsights/mlmodel/_kmeans_constraint_.py
@@ -343,7 +343,7 @@ def _constraint_association_distance(leftover, counters, labels, leftclose, dist
                     labels[ind] = c
                     distances[ind, c] = maxi
                     break
-                elif nover > 0 and leftclose[c] == -1:
+                if nover > 0 and leftclose[c] == -1:
                     # The cluster may accept one point if the number
                     # of clusters does not divide the number of points in X.
                     counters[c] += 1

diff --git a/mlinsights/mlmodel/categories_to_integers.py b/mlinsights/mlmodel/categories_to_integers.py
@@ -172,7 +172,7 @@ def transform(v, vec):
             sch, pos, new_vector = self._schema
             X = X.copy()
             for c in self._fit_columns:
-                X[c] = X[c].apply(lambda v: transform(v, new_vector[c]))
+                X[c] = X[c].apply(lambda v, cv=c: transform(v, new_vector[cv]))
             return X
         else:
             dfcat = X[self._fit_columns]

diff --git a/mlinsights/mlmodel/kmeans_constraint.py b/mlinsights/mlmodel/kmeans_constraint.py
@@ -4,7 +4,7 @@
 @brief Implémente la classe @see cl ConstraintKMeans.
 """
 import numpy
-from scipy.spatial import Delaunay
+from scipy.spatial import Delaunay  # pylint: disable=E0611
 from sklearn.cluster import KMeans
 from sklearn.metrics.pairwise import euclidean_distances
 from ._kmeans_constraint_ import constraint_kmeans, constraint_predictions