pylint

sdpython · Jan 1, 2021 · 17ed580 · 17ed580
1 parent a846f64
commit 17ed580
Show file tree

Hide file tree

Showing 3 changed files with 5 additions and 3 deletions.
diff --git a/appveyor.yml b/appveyor.yml
@@ -10,6 +10,8 @@ init:
 
 install:
   - "%PYTHON%\\python -m pip install --upgrade pip"
+  - "%PYTHON%\\python -m pip install pymyinstall"
+  - "%PYTHON%\\Scripts\\pymy_install3 numpy"
   - "%PYTHON%\\Scripts\\pip install torch==1.7.1+cpu torchvision==0.8.2+cpu torchaudio===0.7.2 -f https://download.pytorch.org/whl/torch_stable.html"
   - "%PYTHON%\\Scripts\\pip install -r requirements.txt"
 build: off

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__ = "0.3.520"
+__version__ = "0.3.521"
 __author__ = "Xavier Dupré"
 __github__ = "https://github.com/sdpython/mlinsights"
 __url__ = "http://www.xavierdupre.fr/app/mlinsights/helpsphinx/index.html"

diff --git a/mlinsights/mlmodel/quantile_mlpregressor.py b/mlinsights/mlmodel/quantile_mlpregressor.py
@@ -147,7 +147,7 @@ def _backprop(self, X, y, activations, deltas, coef_grads,
         deltas[last] = self._modify_loss_derivatives(deltas[last])
 
         # Compute gradient for the last layer
-        temp = self._compute_loss_grad(
+        temp = self._compute_loss_grad(  # pylint: disable=E1111
             last, n_samples, activations, deltas, coef_grads, intercept_grads)
         if temp is None:
             # recent version of scikit-learn
@@ -173,7 +173,7 @@ def _backprop(self, X, y, activations, deltas, coef_grads,
                 inplace_derivative = DERIVATIVES[self.activation]
                 inplace_derivative(activations[i], deltas[i - 1])
 
-                coef_grads, intercept_grads = self._compute_loss_grad(
+                coef_grads, intercept_grads = self._compute_loss_grad(  # pylint: disable=E1111
                     i - 1, n_samples, activations, deltas, coef_grads,
                     intercept_grads)