ANL-CEEESA/MIPLearn
1
0
Fork 0
mirror of https://github.com/ANL-CEEESA/MIPLearn.git synced 2025-12-06 09:28:51 -06:00
Code Issues Packages Projects Releases Wiki Activity

AdaptiveClassifier: improve logging

Browse Source
This commit is contained in:
Alinson S. Xavier
2020-04-16 16:34:18 -05:00
parent 4c152d60f7
commit 07aabd6897
1 changed files with 4 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
src/python/miplearn/classifiers/adaptive.py
View File

@@ -49,17 +49,17 @@ class AdaptiveClassifier(Classifier):
self.classifier = None
def fit(self, x_train, y_train):
best_clf = None
best_score = -float("inf")
best_name, best_clf, best_score = None, None, -float("inf")
n_samples = x_train.shape[0]
for clf_dict in self.candidates.values():
for (name, clf_dict) in self.candidates.items():
if n_samples < clf_dict["min samples"]:
continue
clf = deepcopy(clf_dict["classifier"])
clf.fit(x_train, y_train)
score = self.evaluator.evaluate(clf, x_train, y_train)
if score > best_score:
best_clf, best_score = clf, score
best_name, best_clf, best_score = name, clf, score
logger.debug("Best classifier: %s (score=%.3f)" % (best_name, best_score))
self.classifier = best_clf
def predict_proba(self, x_test):