def __init__(self,
classification_method=("svm", None),
point_generation_method=1):
"""
Creates SlantingTree with provided classifier.
Raises a ValueError exception if provided parameters are incorrect.
:param classification_method: tuple consisting of string containing name of classification algorithm
and its parameters (None for default ones)
"""
BinaryTree.__init__(self)
self.classifier = classifiers.classifier_object(classification_method)
self._point_generation_method = point_generation_method
def __init__(self,
clustering_method=("spectral", None),
classification_method=("svm", None)):
"""
Creates BalancedTree using provided clustering and classification methods.
Raises a ValueError exception if provided parameters are incorrect.
:param clustering_method: tuple consisting of string containing name of clustering algorithm
and its parameters (None for default ones)
:param classification_method: tuple consisting of string containing name of classification algorithm
and its parameters (None for default ones)
"""
BinaryTree.__init__(self)
self.clustering = classifiers.clustering_object(clustering_method)
self.classifier = classifiers.classifier_object(classification_method)