From 68efa9141f86926b7fac30f885424cd5e0024500 Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Thu, 9 Mar 2023 17:08:40 -0500
Subject: [PATCH] Feature_imp concat
---
.../result_analysis/feature_importances.py | 17 +++++++++++++----
1 file changed, 13 insertions(+), 4 deletions(-)
diff --git a/summit/multiview_platform/result_analysis/feature_importances.py b/summit/multiview_platform/result_analysis/feature_importances.py
index df74b53b..ec233dc2 100644
--- a/summit/multiview_platform/result_analysis/feature_importances.py
+++ b/summit/multiview_platform/result_analysis/feature_importances.py
@@ -72,22 +72,31 @@ def publish_feature_importances(feature_importances, directory, database_name,
feature_std = feature_std.loc[feature_importance.index]
- importance_dfs.append(feature_importance.set_index(pd.Index([view_name+"-"+ind for ind in list(feature_importance.index)])))
+ importance_dfs.append(feature_importance.set_index(pd.Index([view_name+"-"+ind for ind in list(feature_importance.index)])).fillna(0))
# importance_dfs.append(pd.DataFrame(index=[view_name+"-br"],
# columns=feature_importance.columns,
# data=np.zeros((1, len(
# feature_importance.columns)))))
std_dfs.append(feature_std.set_index(pd.Index([view_name+"-"+ind
for ind
- in list(feature_std.index)])))
+ in list(feature_std.index)])).fillna(0))
# std_dfs.append(pd.DataFrame(index=[view_name + "-br"],
# columns=feature_std.columns,
# data=np.zeros((1, len(
# feature_std.columns)))))
if "mv" in feature_importances:
- importance_dfs.append(feature_importances["mv"].loc[(feature_importances["mv"] != 0).any(axis=1), :])
+ importance_dfs.append(feature_importances["mv"].loc[(feature_importances["mv"] != 0).any(axis=1), :].fillna(0))
if len(importance_dfs)>0:
- feature_importances_df = pd.concat(importance_dfs)
+ print(importance_dfs)
+ indices=None
+ for df in importance_dfs:
+ if indices is None:
+ indices = list(df.index)
+ else:
+ indices += [ind for ind in df.index if ind not in indices]
+ feat_imp_df = pd.DataFrame(index=indices)
+ feature_importances_df = pd.concat([feat_imp_df]+importance_dfs, axis=1)
+ print(feature_importances_df)
feature_importances_df = feature_importances_df/feature_importances_df.sum(axis=0)
if len(std_dfs)>0:
feature_std_df = pd.concat(std_dfs)
--
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