From 2c98dbd6664928a2f5d314aeee76d0693d18609c Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Tue, 22 Nov 2022 11:07:53 -0500
Subject: [PATCH] print
---
summit/__init__.py | 6 +++---
.../monoview_classifiers/additions/CBBoostUtils.py | 5 ++---
.../result_analysis/feature_importances.py | 2 +-
3 files changed, 6 insertions(+), 7 deletions(-)
diff --git a/summit/__init__.py b/summit/__init__.py
index 9e2c30f3..09bf95ab 100644
--- a/summit/__init__.py
+++ b/summit/__init__.py
@@ -1,4 +1,4 @@
-from . import exec_classif, result_analysis, metrics, monoview_classifiers, \
- monoview, multiview, utils, multiview_classifiers
+__version__ = "0.0.0.0"
+__url__ = "https://gitlab.lis-lab.fr/baptiste.bauvin/summit"
-__all__ = ['metrics', 'monoview', 'monoview_classifiers', 'multiview', 'utils']
+from . import multiview_platform, execute
diff --git a/summit/multiview_platform/monoview_classifiers/additions/CBBoostUtils.py b/summit/multiview_platform/monoview_classifiers/additions/CBBoostUtils.py
index 5b700216..0b065bb0 100644
--- a/summit/multiview_platform/monoview_classifiers/additions/CBBoostUtils.py
+++ b/summit/multiview_platform/monoview_classifiers/additions/CBBoostUtils.py
@@ -22,8 +22,8 @@ class CBBoostClassifier(BaseEstimator, ClassifierMixin, BaseBoost):
def __init__(self, n_max_iterations=100, estimators_generator="Stumps",
random_state=42, self_complemented=True, twice_the_same=True,
random_start=False, n_stumps=1, c_bound_sol=True,
- plotted_metric=metrics.zero_one_loss, save_train_data=True,
- test_graph=True, mincq_tracking=False):
+ plotted_metric=metrics.zero_one_loss, save_train_data=False,
+ test_graph=False, mincq_tracking=False):
super(CBBoostClassifier, self).__init__()
r"""
@@ -457,7 +457,6 @@ class CBBoostClassifier(BaseEstimator, ClassifierMixin, BaseBoost):
np.savetxt(os.path.join(directory, "y_test_step.csv"), self.step_decisions,
delimiter=',')
step_metrics = []
- print(y_test.shape)
for step_index in range(self.step_decisions.shape[1] - 1):
step_metrics.append(self.plotted_metric.score(y_test,
self.step_decisions[:,
diff --git a/summit/multiview_platform/result_analysis/feature_importances.py b/summit/multiview_platform/result_analysis/feature_importances.py
index 49de95ed..9a515277 100644
--- a/summit/multiview_platform/result_analysis/feature_importances.py
+++ b/summit/multiview_platform/result_analysis/feature_importances.py
@@ -30,7 +30,7 @@ def get_feature_importances(result, feature_ids=None, view_names=None,):
feature_importances[classifier_result.view_name] = pd.DataFrame(
index=feature_ids[classifier_result.view_index])
if hasattr(classifier_result.clf, 'feature_importances_'):
- # print(classifier_result.classifier_name, classifier_result.view_name)
+ print(classifier_result.classifier_name, classifier_result.view_name)
feature_importances[classifier_result.view_name][
classifier_result.classifier_name] = classifier_result.clf.feature_importances_
else:
--
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