MNT Reorder parameters in plot_confusion_matrix (scikit-learn#15645)

* MNT Reorder parameters in plot_confusion_matrix

* MNT Reorder parameters in plot_confusion_matrix

* address comment

Author: qinhanmin2014

sklearn/metrics/_plot/confusion_matrix.py

@@ -117,9 +117,9 @@ def plot(self, include_values=True, cmap='viridis',
         return self
 
 
-def plot_confusion_matrix(estimator, X, y_true, sample_weight=None,
-                          labels=None, display_labels=None,
-                          include_values=True, normalize=None,
+def plot_confusion_matrix(estimator, X, y_true, labels=None,
+                          sample_weight=None, normalize=None,
+                          display_labels=None, include_values=True,
                           xticks_rotation='horizontal',
                           values_format=None,
                           cmap='viridis', ax=None):
@@ -138,14 +138,19 @@ def plot_confusion_matrix(estimator, X, y_true, sample_weight=None,
     y : array-like of shape (n_samples,)
         Target values.
 
-    sample_weight : array-like of shape (n_samples,), default=None
-        Sample weights.
-
     labels : array-like of shape (n_classes,), default=None
         List of labels to index the matrix. This may be used to reorder or
         select a subset of labels. If `None` is given, those that appear at
         least once in `y_true` or `y_pred` are used in sorted order.
 
+    sample_weight : array-like of shape (n_samples,), default=None
+        Sample weights.
+
+    normalize : {'true', 'pred', 'all'}, default=None
+        Normalizes confusion matrix over the true (rows), predicted (columns)
+        conditions or all the population. If None, confusion matrix will not be
+        normalized.
+
     display_labels : array-like of shape (n_classes,), default=None
         Target names used for plotting. By default, `labels` will be used if
         it is defined, otherwise the unique labels of `y_true` and `y_pred`
@@ -154,11 +159,6 @@ def plot_confusion_matrix(estimator, X, y_true, sample_weight=None,
     include_values : bool, default=True
         Includes values in confusion matrix.
 
-    normalize : {'true', 'pred', 'all'}, default=None
-        Normalizes confusion matrix over the true (rows), predicted (columns)
-        conditions or all the population. If None, confusion matrix will not be
-        normalized.
-
     xticks_rotation : {'vertical', 'horizontal'} or float, \
                         default='vertical'
         Rotation of xtick labels.