hide normalize toggle in simple dashboard

oegedijk · Jul 8, 2021 · 8cc11e7 · 8cc11e7
1 parent d5a63bb
commit 8cc11e7
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Showing 3 changed files with 5 additions and 2 deletions.
diff --git a/RELEASE_NOTES.md b/RELEASE_NOTES.md
@@ -12,6 +12,7 @@
 - adds a new toggle and parameter to the ConfusionmatrixComponent to either average
     the percentage over the entire matrix, over the rows or over the columns.
     Set normalize='all', normalize='true', or normalize='pred'. 
+- also adds a `save_html(filename)` method to all `ExplainerComponents` and `ExplainerDashboard`
 - `ExplainerHub` adds a new parameter `index_to_base_route`: 
     Dispatches Hub to `/base_route/index` instead of the default `/` and `/index`. 
     Useful when the host root is not reserved for the ExplainerHub

diff --git a/explainerdashboard/dashboard_components/composites.py b/explainerdashboard/dashboard_components/composites.py
@@ -723,7 +723,7 @@ def __init__(self, explainer, title="Simple Classifier Explainer", name=None,
         super().__init__(explainer, title=title, name=name)
 
         self.confusionmatrix = ConfusionMatrixComponent(explainer, 
-                                    **update_params(kwargs, hide_percentage=True, hide_selector=True))
+                                    **update_params(kwargs, hide_percentage=True, hide_selector=True, hide_normalize=True))
 
         # select custom classifier report metric
         if classifier_custom_component == 'metrics':

diff --git a/explainerdashboard/explainer_plots.py b/explainerdashboard/explainer_plots.py
@@ -1272,19 +1272,21 @@ def plotly_confusion_matrix(cm, labels=None, percentage=True, normalize='all'):
         zmin=0, zmax=zmax, colorscale='Blues',
         showscale=False,
     )]
-    
+
     layout = go.Layout(
             title="Confusion Matrix",
             xaxis=dict(title='predicted',
                        constrain="domain",
                        tickmode = 'array',
+                       showgrid = False,
                        tickvals = [f" {lab}" for lab in labels],
                        ticktext = [f" {lab}" for lab in labels]),
             yaxis=dict(title=dict(text='observed',standoff=20),
                        autorange="reversed", 
                        side='left',
                        scaleanchor='x', 
                        scaleratio=1,
+                       showgrid = False,
                        tickmode = 'array',
                        tickvals = [f" {lab}" for lab in labels],
                        ticktext = [f" {lab}" for lab in labels]),