BartPy
0.0.1
Contents:
Node
Split
Tree
Model
Samplers
BartPy
Docs
»
Index
Index
A
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B
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C
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D
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F
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L
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M
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N
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O
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P
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R
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S
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T
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U
A
add_node() (bartpy.tree.Tree method)
B
bartpy.mutation (module)
bartpy.node (module)
bartpy.sklearnmodel (module)
bartpy.split (module)
bartpy.tree (module)
C
condition() (bartpy.split.SplitCondition method)
D
decision_nodes (bartpy.tree.Tree attribute)
DecisionNode (class in bartpy.node)
F
fit() (bartpy.sklearnmodel.SklearnModel method)
L
leaf_nodes (bartpy.tree.Tree attribute)
LeafNode (class in bartpy.node)
LeafNodeSampler (class in bartpy.samplers.leafnode)
left() (bartpy.split.SplitCondition method)
M
model_samples (bartpy.sklearnmodel.SklearnModel attribute)
mutate() (in module bartpy.tree)
N
nodes (bartpy.tree.Tree attribute)
O
out_of_sample_predict() (bartpy.tree.Tree method)
P
predict() (bartpy.sklearnmodel.SklearnModel method)
(bartpy.tree.Tree method)
prediction_samples (bartpy.sklearnmodel.SklearnModel attribute)
propose() (bartpy.samplers.treemutation.proposer.TreeMutationProposer method)
prunable_decision_nodes (bartpy.tree.Tree attribute)
R
remove_node() (bartpy.tree.Tree method)
right() (bartpy.split.SplitCondition method)
S
SampleSchedule (class in bartpy.samplers.schedule)
SigmaSampler (class in bartpy.samplers.sigma)
SklearnModel (class in bartpy.sklearnmodel)
split_node() (in module bartpy.node)
SplitCondition (class in bartpy.split)
splittable_leaf_nodes (bartpy.tree.Tree attribute)
steps() (bartpy.samplers.schedule.SampleSchedule method)
T
Tree (class in bartpy.tree)
TreeMutation (class in bartpy.mutation)
TreeMutationProposer (class in bartpy.samplers.treemutation.proposer)
TreeNode (class in bartpy.node)
U
update_y() (bartpy.tree.Tree method)