blog and numpy import

_doc/sphinxdoc/source/blog/2019/2019-10_04_asv.rst

@@ -0,0 +1,14 @@
+
+.. blogpost::
+    :title: The bug which makes you waste time
+    :keywords: asv, bug
+    :date: 2019-10-04
+    :categories: benchmark
+
+    It is not a bug but it is something which makes
+    you waste some significant time just to understand
+    what's going on. :epkg:`asv` would refuse to detect
+    the benchmark I was trying to set up just because
+    filenames did contain dots. So, for :epkg:`asv`
+    don't add a file ``name.option.py`` but use
+    ``name_option.py``.

mlprodict/asv_benchmark/create_asv.py

@@ -212,7 +212,7 @@ def create_asv_benchmark(
     created.append(dest)
     if verbose > 0 and fLOG is not None:
         fLOG("[create_asv_benchmark] create 'benches/__init__.py'.")
-    
+
     # flask_server
     tool_dir = os.path.join(location, 'tools')
     if not os.path.exists(tool_dir):

mlprodict/asv_benchmark/template/skl_model_classifier.py

@@ -10,6 +10,7 @@
     abide by the rule of the maximum path length even though
     the system is told otherwise.
 """
+import numpy  # pylint: disable=W0611
 # Import specific to this model.
 from sklearn.linear_model import LogisticRegression
 

mlprodict/asv_benchmark/template/skl_model_clustering.py

@@ -10,6 +10,7 @@
     abide by the rule of the maximum path length even though
     the system is told otherwise.
 """
+import numpy  # pylint: disable=W0611
 # Import specific to this model.
 from sklearn.cluster import KMeans
 

mlprodict/asv_benchmark/template/skl_model_multi_classifier.py

@@ -10,6 +10,7 @@
     abide by the rule of the maximum path length even though
     the system is told otherwise.
 """
+import numpy  # pylint: disable=W0611
 # Import specific to this model.
 from sklearn.ensemble import RandomForestClassifier
 

mlprodict/asv_benchmark/template/skl_model_outlier.py

@@ -10,6 +10,7 @@
     abide by the rule of the maximum path length even though
     the system is told otherwise.
 """
+import numpy  # pylint: disable=W0611
 # Import specific to this model.
 from sklearn.svm import OneClassSVM
 

mlprodict/asv_benchmark/template/skl_model_regressor.py

@@ -10,6 +10,7 @@
     abide by the rule of the maximum path length even though
     the system is told otherwise.
 """
+import numpy  # pylint: disable=W0611
 # Import specific to this model.
 from sklearn.linear_model import LinearRegression
 

mlprodict/asv_benchmark/template/skl_model_trainable_transform.py

@@ -10,6 +10,7 @@
     abide by the rule of the maximum path length even though
     the system is told otherwise.
 """
+import numpy  # pylint: disable=W0611
 # Import specific to this model.
 from sklearn.cross_decomposition import PLSCanonical
 

mlprodict/asv_benchmark/template/skl_model_transform.py

@@ -10,6 +10,7 @@
     abide by the rule of the maximum path length even though
     the system is told otherwise.
 """
+import numpy  # pylint: disable=W0611
 # Import specific to this model.
 from sklearn.preprocessing import Normalizer