From 05b4b9ab7b6459f307087ea68bd2abdd1845ad4c Mon Sep 17 00:00:00 2001
From: Baptiste Bauvin <baptiste.bauvin@lis-lab.fr>
Date: Wed, 13 Feb 2019 15:54:09 -0500
Subject: [PATCH] Minor set_params bug
---
.../MonoMultiViewClassifiers/Monoview/Additions/BoostUtils.py | 2 +-
.../Monoview/Additions/QarBoostUtils.py | 1 +
.../MonoMultiViewClassifiers/Monoview/MonoviewUtils.py | 1 +
3 files changed, 3 insertions(+), 1 deletion(-)
diff --git a/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/BoostUtils.py b/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/BoostUtils.py
index 9ed01abe..964f9225 100644
--- a/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/BoostUtils.py
+++ b/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/BoostUtils.py
@@ -739,7 +739,7 @@ def getInterpretBase(classifier, directory, classifier_name, weights,
interpretString += "\n \t It generated {} columns by attributes and used {} iterations to converge, and selected {} couple(s) of opposed voters".format(classifier.n_stumps,
len(weights_sort), classifier.nb_opposed_voters)
if max(weights) > 0.50:
- interpretString += "\n \t The vote is useless in this context : voter n°{} is a dictator of weight > 0.50".format(classifier.chosen_columns_[np.argmax(np.array(weights))])
+ interpretString += "\n \t The vote is useless in this context : voter nb {} is a dictator of weight > 0.50".format(classifier.chosen_columns_[np.argmax(np.array(weights))])
if len(weights_sort) == classifier.n_max_iterations or len(weights) == classifier.n_total_hypotheses_:
if len(weights) == classifier.n_max_iterations:
interpretString += ", and used all available iterations, "
diff --git a/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/QarBoostUtils.py b/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/QarBoostUtils.py
index e0ea8568..09277d17 100644
--- a/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/QarBoostUtils.py
+++ b/multiview_platform/MonoMultiViewClassifiers/Monoview/Additions/QarBoostUtils.py
@@ -81,6 +81,7 @@ class ColumnGenerationClassifierQar(BaseEstimator, ClassifierMixin, BaseBoost):
self.n_max_iterations = params["n_max_iterations"]
# self.n_stumps = params["n_stumps_per_attribute"]
# self.use_r = params["use_r"]
+ return self
def fit(self, X, y):
diff --git a/multiview_platform/MonoMultiViewClassifiers/Monoview/MonoviewUtils.py b/multiview_platform/MonoMultiViewClassifiers/Monoview/MonoviewUtils.py
index 59260507..1e7fd817 100644
--- a/multiview_platform/MonoMultiViewClassifiers/Monoview/MonoviewUtils.py
+++ b/multiview_platform/MonoMultiViewClassifiers/Monoview/MonoviewUtils.py
@@ -31,6 +31,7 @@ def randomizedSearch(X_train, y_train, randomState, outputFileName, classifierMo
nIter = nb_possible_combinations
randomSearch = RandomizedSearchCV(estimator, n_iter=nIter, param_distributions=params_dict, refit=True,
n_jobs=nbCores, scoring=scorer, cv=KFolds, random_state=randomState)
+ print(estimator)
detector = randomSearch.fit(X_train, y_train)
bestParams = estimator.genBestParams(detector)
--
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