Default parameter inconsistent with docs

[mateuszkasprowicz]

source:

pyod/pyod/models/lof.py

Lines 140 to 142 in 6c77e27

	def __init__(self, n_neighbors=20, algorithm='auto', leaf_size=30,
	metric='minkowski', p=2, metric_params=None,
	contamination=0.1, n_jobs=1, novelty=True):

docs:

pyod/pyod/models/lof.py

Lines 110 to 115 in 6c77e27

	novelty : bool (default=False)
	By default, LocalOutlierFactor is only meant to be used for outlier
	detection (novelty=False). Set novelty to True if you want to use
	LocalOutlierFactor for novelty detection. In this case be aware that
	that you should only use predict, decision_function and score_samples
	on new unseen data and not on the training set.