Fix typos

Change-Id: I9fc28742ecbd0cf8d5bcadd7c330e428aa6460bc
This commit is contained in:
Hisashi Osanai 2017-01-16 00:39:03 +00:00
parent 5f9495f0e4
commit 75999b9d6e
6 changed files with 6 additions and 6 deletions

View File

@ -83,7 +83,7 @@ class DecisionTreeClassifier(BaseSML):
def learn_structure(self, samples):
X_train, X_train_label, X_test, X_test_label = \
self._generate_train_test_sets(samples, 0.75)
logger.info('Trainig with ' + str(len(X_train)) +
logger.info('Training with ' + str(len(X_train)) +
'samples; testing with ' + str(len(X_test)) + ' samples.')
dt_detector = self._get_best_detector(X_train, X_train_label)

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@ -75,7 +75,7 @@ class EllipticEnvelope(BaseSML):
def learn_structure(self, samples):
X_train, X_test = self._generate_train_test_sets(samples, 0.75)
logger.info('Trainig with ' + str(len(X_train)) +
logger.info('Training with ' + str(len(X_train)) +
'samples; testing with ' + str(len(X_test)) + ' samples.')
ee_detector = self._get_best_detector(X_train)

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@ -75,7 +75,7 @@ class IsolationForest(BaseSML):
def learn_structure(self, samples):
X_train, X_test = self._generate_train_test_sets(samples, 0.75)
logger.info('Trainig with ' + str(len(X_train)) +
logger.info('Training with ' + str(len(X_train)) +
'samples; testing with ' + str(len(X_test)) + ' samples.')
if_detector = self._get_best_detector(X_train)

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@ -82,7 +82,7 @@ class LogisticRegression(BaseSML):
def learn_structure(self, samples):
X_train, X_train_label, X_test, X_test_label = \
self._generate_train_test_sets(samples, 0.75)
logger.info('Trainig with ' + str(len(X_train)) +
logger.info('Training with ' + str(len(X_train)) +
'samples; testing with ' + str(len(X_test)) + ' samples.')
lr_detector = self._get_best_detector(X_train, X_train_label)

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@ -82,7 +82,7 @@ class RandomForestClassifier(BaseSML):
def learn_structure(self, samples):
X_train, X_train_label, X_test, X_test_label = \
self._generate_train_test_sets(samples, 0.75)
logger.info('Trainig with ' + str(len(X_train)) +
logger.info('Training with ' + str(len(X_train)) +
'samples; testing with ' + str(len(X_test)) + ' samples.')
rf_detector = self._get_best_detector(X_train, X_train_label)

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@ -82,7 +82,7 @@ class Svc(BaseSML):
def learn_structure(self, samples):
X_train, X_train_label, X_test, X_test_label = \
self._generate_train_test_sets(samples, 0.75)
logger.info('Trainig with ' + str(len(X_train)) +
logger.info('Training with ' + str(len(X_train)) +
'samples; testing with ' + str(len(X_test)) + ' samples.')
svc_detector = self._get_best_detector(X_train, X_train_label)