Use InteractionAnalysis (#3016)

Summary: Pull Request resolved: #3016

Reviewed By: mgarrard

Differential Revision: D64972635

fbshipit-source-id: 7ce5f735f766f79089cc68f6cfde60f04593c8c9

Author: Daniel Cohen

ax/plot/feature_importances.py

@@ -149,7 +149,6 @@ def plot_feature_importance_by_feature_plotly(
             for metric_name, v in sensitivity_values.items()
         }
     traces = []
-    dropdown = []
     categorical_features = []
     if model is not None:
         categorical_features = [
@@ -238,37 +237,16 @@ def plot_feature_importance_by_feature_plotly(
         is_visible = [False] * (len(sensitivity_values) * len(df))
         for j in range(i * len(df), (i + 1) * len(df)):
             is_visible[j] = True
-        dropdown.append(
-            {"args": ["visible", is_visible], "label": metric_name, "method": "restyle"}
-        )
     if not traces:
         raise NotImplementedError("No traces found for metric")
 
-    updatemenus = [
-        {
-            "x": 0,
-            "y": 1,
-            "yanchor": "top",
-            "xanchor": "left",
-            "buttons": dropdown,
-            "pad": {
-                "t": -40
-            },  # hack to put dropdown below title regardless of number of features
-        }
-    ]
     features = list(list(sensitivity_values.values())[0].keys())
-    title = "Normalized parameter sensitivity" if relative else "Parameter sensitivity"
-    if importance_measure:
-        title = title + " using " + importance_measure
     longest_label = max(len(f) for f in features)
     longest_metric = max(len(m) for m in sensitivity_values.keys())
     layout = go.Layout(
-        height=200 + len(features) * 20,
+        height=len(features) * 20,
         width=10 * longest_label + max(10 * longest_metric, 400),
         hovermode="closest",
-        margin=go.layout.Margin(l=8 * min(max(len(idx) for idx in features), 75)),  # noqa E741
-        title=title,
-        updatemenus=updatemenus,
         annotations=compose_annotation(caption=caption),
     )