From ecf491b568f5c1cfca70298ba6518cf2164cffb1 Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Wed, 27 Nov 2019 15:40:07 -0500
Subject: [PATCH] Added feature importances on coef_ compatible algorithms
---
config_files/config_test.yml | 4 ++--
.../monoview_classifiers/lasso.py | 1 +
.../mono_multi_view_classifiers/monoview_classifiers/sgd.py | 2 ++
.../monoview_classifiers/svm_linear.py | 6 ++++++
4 files changed, 11 insertions(+), 2 deletions(-)
diff --git a/config_files/config_test.yml b/config_files/config_test.yml
index ecf24d31..a3d3fbc2 100644
--- a/config_files/config_test.yml
+++ b/config_files/config_test.yml
@@ -22,8 +22,8 @@ Classification:
nb_folds: 2
nb_class: 2
classes:
- type: ["multiview","monoview"]
- algos_monoview: ["decision_tree", "adaboost"]
+ type: ["monoview"]
+ algos_monoview: ["all", ]
algos_multiview: ["weighted_linear_early_fusion"]
stats_iter: 2
metrics: ["accuracy_score", "f1_score"]
diff --git a/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/lasso.py b/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/lasso.py
index 0af82bc6..c36ad031 100644
--- a/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/lasso.py
+++ b/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/lasso.py
@@ -63,6 +63,7 @@ class Lasso(LassoSK, BaseMonoviewClassifier):
neg_y = np.copy(y)
neg_y[np.where(neg_y == 0)] = -1
super(Lasso, self).fit(X, neg_y)
+ self.feature_importances_ = self.coef_/np.sum(self.coef_)
return self
def predict(self, X):
diff --git a/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/sgd.py b/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/sgd.py
index b4a0e3d7..bd0d8c70 100644
--- a/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/sgd.py
+++ b/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/sgd.py
@@ -79,6 +79,8 @@ class SGD(SGDClassifier, BaseMonoviewClassifier):
interpret_string str to interpreted
"""
interpret_string = ""
+ import numpy as np
+ self.feature_importances_ = (self.coef_/np.sum(self.coef_)).reshape(self.coef_.shape[1])
return interpret_string
diff --git a/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/svm_linear.py b/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/svm_linear.py
index b71c1d31..ad867f07 100644
--- a/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/svm_linear.py
+++ b/multiview_platform/mono_multi_view_classifiers/monoview_classifiers/svm_linear.py
@@ -34,6 +34,12 @@ class SVMLinear(SVCClassifier, BaseMonoviewClassifier):
self.param_names = ["C", "random_state"]
self.distribs = [CustomUniform(loc=0, state=1), [random_state]]
+ def getInterpret(self, directory, y_test):
+ interpret_string = ""
+ import numpy as np
+ self.feature_importances_ = (self.coef_/np.sum(self.coef_)).reshape((self.coef_.shape[1],))
+ return interpret_string
+
# def formatCmdArgs(args):
# """Used to format kwargs for the parsed args"""
--
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