bartz a587b36
Super-fast BART (Bayesian Additive Regression Trees) in Python
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Index
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A
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B
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C
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D
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E
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F
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G
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I
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M
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N
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P
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Q
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R
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S
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V
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Y
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__call__() (bartz.mcmcloop.Callback method)
A
autobatch() (in module bartz.jaxext)
avg_acc() (bartz.debug.debug_mc_gbart method)
avg_move() (bartz.debug.debug_mc_gbart method)
avg_prop() (bartz.debug.debug_mc_gbart method)
B
Bart (class in bartz)
BARTTraceMeta (class in bartz.debug)
bartz
module
bartz.BART
module
bartz.debug
module
bartz.grove
module
bartz.jaxext
module
bartz.jaxext.scipy.special
module
bartz.jaxext.scipy.stats
module
bartz.mcmcloop
module
bartz.mcmcstep
module
bartz.prepcovars
module
bin_predictors() (in module bartz.prepcovars)
BurninTrace (class in bartz.mcmcloop)
C
Callback (class in bartz.mcmcloop)
check() (in module bartz.debug)
check_leaf_values() (in module bartz.debug)
check_num_nodes() (in module bartz.debug)
check_rule_consistency() (in module bartz.debug)
check_sizes() (in module bartz.debug)
check_split_in_bounds() (in module bartz.debug)
check_stray_nodes() (in module bartz.debug)
check_trace() (in module bartz.debug)
check_tree() (in module bartz.debug)
check_trees() (bartz.debug.debug_mc_gbart method)
check_types() (in module bartz.debug)
check_unused_node() (in module bartz.debug)
check_var_in_bounds() (in module bartz.debug)
compare_resid() (bartz.debug.debug_mc_gbart method)
compute_varcount() (in module bartz.mcmcloop)
D
debug_gbart (class in bartz.debug)
debug_mc_gbart (class in bartz.debug)
depth_distr() (bartz.debug.debug_mc_gbart method)
describe_error() (in module bartz.debug)
E
evaluate_forest() (in module bartz.grove)
evaluate_trace() (in module bartz.mcmcloop)
F
Forest (class in bartz.mcmcstep)
forest_depth_distr() (in module bartz.debug)
forest_fill() (in module bartz.grove)
format_tree() (in module bartz.debug)
from_dataclass() (bartz.mcmcloop.TreesTrace class method)
from_state() (bartz.mcmcloop.BurninTrace class method)
(bartz.mcmcloop.MainTrace class method)
from_trees_trace() (bartz.debug.TraceWithOffset class method)
G
gammainccinv() (in module bartz.jaxext.scipy.special)
get_default_device() (in module bartz.jaxext)
get_device_count() (in module bartz.jaxext)
I
init() (in module bartz.mcmcstep)
initial() (bartz.debug.SamplePriorCarry class method)
(bartz.debug.SamplePriorStack class method)
(bartz.debug.SamplePriorTrees class method)
(bartz.debug.SamplePriorX class method)
invgamma (class in bartz.jaxext.scipy.stats)
is_actual_leaf() (in module bartz.grove)
is_key() (in module bartz.jaxext)
is_leaves_parent() (in module bartz.grove)
is_used() (in module bartz.grove)
M
MainTrace (class in bartz.mcmcloop)
make_default_callback() (in module bartz.mcmcloop)
make_tree() (in module bartz.grove)
minimal_unsigned_dtype() (in module bartz.jaxext)
module
bartz
bartz.BART
bartz.debug
bartz.grove
bartz.jaxext
bartz.jaxext.scipy.special
bartz.jaxext.scipy.stats
bartz.mcmcloop
bartz.mcmcstep
bartz.prepcovars
N
ndpost (bartz.Bart property)
ndtri() (in module bartz.jaxext.scipy.special)
num_chains() (bartz.mcmcstep.Forest method)
P
parse_xinfo() (in module bartz.prepcovars)
points_per_decision_node_distr() (bartz.debug.debug_mc_gbart method)
points_per_leaf_distr() (bartz.debug.debug_mc_gbart method)
points_per_node_distr() (in module bartz.debug)
pop() (bartz.jaxext.split method)
ppf() (bartz.jaxext.scipy.stats.invgamma static method)
predict() (bartz.Bart method)
print_callback() (in module bartz.mcmcloop)
print_tree() (bartz.debug.debug_mc_gbart method)
PrintCallbackState (class in bartz.mcmcloop)
prob_test (bartz.Bart property)
prob_test_mean (bartz.Bart property)
prob_train (bartz.Bart property)
prob_train_mean (bartz.Bart property)
profile_mode() (in module bartz)
Q
quantilized_splits_from_matrix() (in module bartz.prepcovars)
R
run_mcmc() (in module bartz.mcmcloop)
S
sample_prior() (in module bartz.debug)
sample_prior_forest() (in module bartz.debug)
sample_prior_onetree() (in module bartz.debug)
SamplePriorCarry (class in bartz.debug)
SamplePriorStack (class in bartz.debug)
SamplePriorTrees (class in bartz.debug)
SamplePriorX (class in bartz.debug)
scan_BART_trees() (in module bartz.debug)
sigma (bartz.Bart property)
sigma_ (bartz.Bart property)
sigma_harmonic_mean() (bartz.debug.debug_mc_gbart method)
sigma_mean (bartz.Bart property)
split (class in bartz.jaxext)
State (class in bartz.mcmcstep)
step() (in module bartz.mcmcstep)
StepConfig (class in bartz.mcmcstep)
T
Trace (class in bartz.mcmcloop)
TraceWithOffset (class in bartz.debug)
traverse_forest() (in module bartz.grove)
traverse_tree() (in module bartz.grove)
tree_actual_depth() (in module bartz.debug)
tree_depth() (in module bartz.grove)
tree_depths() (in module bartz.grove)
tree_goes_bad() (bartz.debug.debug_mc_gbart method)
TreeHeaps (class in bartz.grove)
trees_BART_to_bartz() (in module bartz.debug)
TreesTrace (class in bartz.mcmcloop)
truncated_normal_onesided() (in module bartz.jaxext)
U
uniform_splits_from_matrix() (in module bartz.prepcovars)
unique() (in module bartz.jaxext)
V
var_histogram() (in module bartz.grove)
varcount (bartz.Bart property)
varcount_mean (bartz.Bart property)
varprob (bartz.Bart property)
varprob_mean (bartz.Bart property)
vmap_nodoc() (in module bartz.jaxext)
Y
yhat_test_mean (bartz.Bart property)
yhat_train (bartz.Bart property)
yhat_train_mean (bartz.Bart property)