fix alphabetical order

BayesWitnesses · Feb 27, 2020 · 46e0b8c · 46e0b8c
1 parent 6f02dd8
commit 46e0b8c
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Showing 2 changed files with 10 additions and 10 deletions.
diff --git a/m2cgen/assemblers/__init__.py b/m2cgen/assemblers/__init__.py
@@ -42,7 +42,7 @@
     "sklearn.svm.classes.SVC": SVMModelAssembler,
     "sklearn.svm.classes.SVR": SVMModelAssembler,
 
-    # lightning SVM
+    # Lightning SVM
     "lightning.impl.dual_cd.LinearSVC": SklearnLinearModelAssembler,
     "lightning.impl.dual_cd.LinearSVR": SklearnLinearModelAssembler,
 
@@ -88,7 +88,7 @@
     "statsmodels.base.elastic_net.RegularizedResultsWrapper":
         StatsmodelsLinearModelAssembler,
 
-    # lightning Linear Regressors
+    # Lightning Linear Regressors
     "lightning.impl.adagrad.AdaGradRegressor": SklearnLinearModelAssembler,
     "lightning.impl.primal_cd.CDRegressor": SklearnLinearModelAssembler,
     "lightning.impl.fista.FistaRegressor": SklearnLinearModelAssembler,
@@ -112,7 +112,7 @@
     "sklearn.linear_model.stochastic_gradient.SGDClassifier":
         SklearnLinearModelAssembler,
 
-    # lightning Linear Classifiers
+    # Lightning Linear Classifiers
     "lightning.impl.adagrad.AdaGradClassifier": SklearnLinearModelAssembler,
     "lightning.impl.primal_cd.CDClassifier": SklearnLinearModelAssembler,
     "lightning.impl.fista.FistaClassifier": SklearnLinearModelAssembler,

diff --git a/tests/e2e/test_e2e.py b/tests/e2e/test_e2e.py
@@ -191,7 +191,7 @@ def classification_binary_random(model):
         classification(svm.LinearSVC(random_state=RANDOM_SEED)),
         classification_binary(svm.LinearSVC(random_state=RANDOM_SEED)),
 
-        # lightning Linear SVM
+        # Lightning Linear SVM
         regression(light_reg.LinearSVR(random_state=RANDOM_SEED)),
         classification(light_clf.LinearSVC(
             criterion="accuracy", random_state=RANDOM_SEED)),
@@ -274,7 +274,7 @@ def classification_binary_random(model):
                 len(utils.get_regression_model_trainer().y_train))),
                  fit_regularized=STATSMODELS_LINEAR_REGULARIZED_PARAMS))),
 
-        # lightning Linear Regression
+        # Lightning Linear Regression
         regression(light_reg.AdaGradRegressor(random_state=RANDOM_SEED)),
         regression(light_reg.CDRegressor(random_state=RANDOM_SEED)),
         regression(light_reg.FistaRegressor()),
@@ -311,7 +311,7 @@ def classification_binary_random(model):
         classification_binary(linear_model.SGDClassifier(
             random_state=RANDOM_SEED)),
 
-        # lightning Linear Classifiers
+        # Lightning Linear Classifiers
         classification(light_clf.AdaGradClassifier(
             random_state=RANDOM_SEED)),
         classification(light_clf.CDClassifier(
@@ -320,11 +320,11 @@ def classification_binary_random(model):
             penalty="l1/l2", multiclass=True, random_state=RANDOM_SEED)),
         classification(light_clf.FistaClassifier()),
         classification(light_clf.FistaClassifier(multiclass=True)),
-        classification(light_clf.SDCAClassifier(
+        classification(light_clf.SAGAClassifier(
             random_state=RANDOM_SEED)),
         classification(light_clf.SAGClassifier(
             random_state=RANDOM_SEED)),
-        classification(light_clf.SAGAClassifier(
+        classification(light_clf.SDCAClassifier(
             random_state=RANDOM_SEED)),
         classification(light_clf.SGDClassifier(
             random_state=RANDOM_SEED)),
@@ -336,11 +336,11 @@ def classification_binary_random(model):
         classification_binary(light_clf.CDClassifier(
             random_state=RANDOM_SEED)),
         classification_binary(light_clf.FistaClassifier()),
-        classification_binary(light_clf.SDCAClassifier(
+        classification_binary(light_clf.SAGAClassifier(
             random_state=RANDOM_SEED)),
         classification_binary(light_clf.SAGClassifier(
             random_state=RANDOM_SEED)),
-        classification_binary(light_clf.SAGAClassifier(
+        classification_binary(light_clf.SDCAClassifier(
             random_state=RANDOM_SEED)),
         classification_binary(light_clf.SGDClassifier(
             random_state=RANDOM_SEED)),