Basic DecisionTree that the random forest is based on. More...
Public Member Functions | |
def | __init__ |
def | get_tree_depth |
def | make_leaf |
def | predict |
def | train |
def | transform_input |
Identity function. | |
Public Attributes | |
children | |
prediction | |
split_point |
Basic DecisionTree that the random forest is based on.
Definition at line 201 of file random_forest.py.
def ml_lib.random_forest.DecisionTree.__init__ | ( | self, | |
dataset = None , |
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splitting_func = min_entropy_split |
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) |
Definition at line 203 of file random_forest.py.
def ml_lib.random_forest.DecisionTree.get_tree_depth | ( | self | ) |
Definition at line 260 of file random_forest.py.
def ml_lib.random_forest.DecisionTree.make_leaf | ( | self, | |
dataset | |||
) |
Definition at line 226 of file random_forest.py.
def ml_lib.random_forest.DecisionTree.predict | ( | self, | |
input | |||
) |
Definition at line 238 of file random_forest.py.
def ml_lib.random_forest.DecisionTree.train | ( | self, | |
dataset, | |||
splitting_func = min_entropy_split |
|||
) |
Definition at line 209 of file random_forest.py.
def ml_lib.random_forest.DecisionTree.transform_input | ( | self, | |
input, | |||
tree = None |
|||
) |
Identity function.
Definition at line 257 of file random_forest.py.
Definition at line 203 of file random_forest.py.
Definition at line 203 of file random_forest.py.
Definition at line 209 of file random_forest.py.