upgrade version

Author: sdpython

HISTORY.rst

@@ -5,7 +5,13 @@
 History
 =======
 
-current - 2022-05-18 - 0.00Mb
+current - 2022-07-22 - 0.00Mb
+=============================
+
+* #105: Update for python 3.10 (2022-07-22)
+* #108: Uses f strings (2022-07-19)
+
+0.3.631 - 2022-05-19 - 0.52Mb
 =============================
 
 * #107: Updates CI for scikit-learn==1.1 (2022-05-18)
@@ -61,20 +67,8 @@ current - 2022-05-18 - 0.00Mb
 * #82: Fixes #81, skl 0.22, 0.23 together (2020-08-06)
 * #81: Make mlinsights work with scikit-learn 0.22 and 0.23 (2020-08-06)
 * #79: pipeline2dot fails with 'passthrough' (2020-07-16)
-
-0.2.463 - 2020-06-29 - 0.83Mb
-=============================
-
 * #78: Removes strong dependency on pyquickhelper (2020-06-29)
-
-0.2.450 - 2020-06-08 - 0.83Mb
-=============================
-
 * #77: Add parameter trainable to TransferTransformer (2020-06-07)
-
-0.2.447 - 2020-06-03 - 0.83Mb
-=============================
-
 * #76: ConstraintKMeans does not produce convex clusters. (2020-06-03)
 * #75: Moves kmeans with constraint from papierstat. (2020-05-27)
 * #74: Fix PipelineCache after as scikti-learn 0.23 changed the way parameters is handle in pipelines (2020-05-15)

appveyor.yml

@@ -6,10 +6,6 @@ environment:
       PYTHON_VERSION: "3.10.x"
       PYTHON_ARCH: "64"
       SKL: '>=1.0'
-    - PYTHON: "C:\\Python39-x64"
-      PYTHON_VERSION: "3.9.x"
-      PYTHON_ARCH: "64"
-      SKL: '==0.24.2'
 init:
   - "ECHO %PYTHON% %PYTHON_VERSION% %PYTHON_ARCH%"
 

mlinsights/__init__.py

@@ -4,7 +4,7 @@
 @brief Module *mlinsights*.
 Look for insights for machine learned models.
 """
-__version__ = "0.3.631"
+__version__ = "0.3.649"
 __author__ = "Xavier Dupré"
 __github__ = "https://github.com/sdpython/mlinsights"
 __url__ = "http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html"

mlinsights/helpers/pipeline.py

@@ -112,7 +112,8 @@ def to_str(self, nrows=5):
         """
         Tries to produce a readable message.
         """
-        rows = [f'BaseEstimatorDebugInformation({self.model.__class__.__name__})']
+        rows = [
+            f'BaseEstimatorDebugInformation({self.model.__class__.__name__})']
         for k in sorted(self.inputs):
             if k in self.outputs:
                 rows.append('  ' + k + '(')

mlinsights/mlmodel/kmeans_constraint.py

@@ -85,7 +85,8 @@ def __init__(self, n_clusters=8, init='k-means++', n_init=10, max_iter=500,
         self.history = history
         self.learning_rate = learning_rate
         if strategy not in ConstraintKMeans._strategy_value:
-            raise ValueError(f'strategy must be in {ConstraintKMeans._strategy_value}')
+            raise ValueError(
+                f'strategy must be in {ConstraintKMeans._strategy_value}')
 
     def fit(self, X, y=None, sample_weight=None, fLOG=None):
         """