Gumbi
0.2.1
Getting Started:
Introduction
Examples:
The Cars Dataset
Simple Regression and Prediction
Multioutput Regression
API:
gumbi
Gumbi
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
V
|
W
|
X
|
Y
|
Z
|
Μ
|
Σ
A
add_layers() (gumbi.arrays.LayeredArray method)
(gumbi.arrays.ParameterArray method)
additive (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
append_categorical_points() (gumbi.regression.Regressor method)
as_dict() (gumbi.arrays.LayeredArray method)
B
BC() (gumbi.arrays.UncertainArray method)
BD() (gumbi.arrays.UncertainArray method)
build_model() (gumbi.regression.GP method)
(gumbi.regression.GPC method)
(gumbi.regression.Regressor method)
C
categorical_coords (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
categorical_dims (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
categorical_levels (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
cdf() (gumbi.arrays.MultivariateNormalish method)
colorbar() (gumbi.plotting.ParrayPlotter method)
continuous_coords (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
continuous_dims (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
continuous_levels (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
coords (gumbi.regression.Regressor property)
cov() (gumbi.arrays.MVUncertainParameterArray method)
cross_validate() (gumbi.regression.Regressor method)
D
data (gumbi.regression.Regressor attribute)
DataSet (class in gumbi.aggregation)
dataset (gumbi.regression.GP attribute)
dims (gumbi.regression.Regressor property)
dist (gumbi.arrays.MVUncertainParameterArray property)
(gumbi.arrays.UncertainArray property)
(gumbi.arrays.UncertainParameterArray property)
draw_grid_samples() (gumbi.regression.GP method)
draw_point_samples() (gumbi.regression.GP method)
(gumbi.regression.GPC method)
dstack() (gumbi.arrays.LayeredArray method)
E
EI() (gumbi.arrays.UncertainArray method)
F
fields (gumbi.arrays.UncertainArray attribute)
(gumbi.arrays.UncertainParameterArray attribute)
fill_with() (gumbi.arrays.ParameterArray method)
filter_dims (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
find_MAP() (gumbi.regression.GP method)
fit() (gumbi.regression.GP method)
(gumbi.regression.Regressor method)
float_inputs (gumbi.aggregation.DataSet property)
(gumbi.aggregation.MetaFrame property)
from_DataFrame() (gumbi.aggregation.Standardizer class method)
from_tidy() (gumbi.aggregation.DataSet class method)
(gumbi.aggregation.WideData class method)
from_wide() (gumbi.aggregation.DataSet class method)
G
get() (gumbi.arrays.LayeredArray method)
(gumbi.arrays.MVUncertainParameterArray method)
(gumbi.arrays.ParameterArray method)
get_conditional_prediction() (gumbi.regression.Regressor method)
get_filtered_data() (gumbi.regression.Regressor method)
get_l_prior() (in module gumbi.utils.gp_utils)
get_shaped_data() (gumbi.regression.Regressor method)
get_structured_data() (gumbi.regression.Regressor method)
GP (class in gumbi.regression)
gp_dict (gumbi.regression.GP attribute)
GPC (class in gumbi.regression)
gumbi.aggregation
module
gumbi.arrays
module
gumbi.plotting
module
gumbi.regression
module
gumbi.utils
module
H
HD() (gumbi.arrays.UncertainArray method)
I
inputs (gumbi.aggregation.DataSet property)
(gumbi.aggregation.MetaFrame property)
K
KLD() (gumbi.arrays.UncertainArray method)
L
LayeredArray (class in gumbi.arrays)
levels (gumbi.regression.Regressor property)
linear_dims (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
log_vars (gumbi.aggregation.Standardizer property)
logcdf() (gumbi.arrays.MultivariateNormalish method)
logit_vars (gumbi.aggregation.Standardizer property)
LogitNormal (class in gumbi.arrays)
logpdf() (gumbi.arrays.MultivariateNormalish method)
M
mahalanobis() (gumbi.arrays.MVUncertainParameterArray method)
marginal_grids() (gumbi.regression.Regressor method)
mean() (gumbi.arrays.UncertainArray method)
(gumbi.arrays.UncertainParameterArray method)
mean_transforms (gumbi.aggregation.Standardizer property)
MetaFrame (class in gumbi.aggregation)
model (gumbi.regression.GP attribute)
module
gumbi.aggregation
gumbi.arrays
gumbi.plotting
gumbi.regression
gumbi.utils
MultivariateNormalish (class in gumbi.arrays)
MVUncertainParameterArray (class in gumbi.arrays)
mvuparray() (gumbi.arrays.MVUncertainParameterArray method)
(gumbi.regression.Regressor method)
N
name (gumbi.arrays.UncertainArray attribute)
(gumbi.arrays.UncertainParameterArray attribute)
names (gumbi.arrays.ParameterArray attribute)
nlpd() (gumbi.arrays.UncertainArray method)
O
outlier_pval() (gumbi.arrays.MVUncertainParameterArray method)
outputs (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
P
ParameterArray (class in gumbi.arrays)
parray() (gumbi.arrays.MVUncertainParameterArray method)
(gumbi.arrays.ParameterArray method)
(gumbi.regression.Regressor method)
ParrayPlotter (class in gumbi.plotting)
pdf() (gumbi.arrays.MultivariateNormalish method)
plot() (gumbi.plotting.ParrayPlotter method)
plot_ci() (gumbi.plotting.ParrayPlotter method)
ppf() (gumbi.arrays.LogitNormal method)
predict() (gumbi.regression.GP method)
(gumbi.regression.Regressor method)
predict_grid() (gumbi.regression.Regressor method)
predict_points() (gumbi.regression.Regressor method)
prepare_grid() (gumbi.regression.Regressor method)
propose() (gumbi.regression.Regressor method)
R
Regressor (class in gumbi.regression)
rvs() (gumbi.arrays.LogitNormal method)
(gumbi.arrays.MultivariateNormalish method)
S
sample() (gumbi.regression.GP method)
savefig() (in module gumbi.utils.generic_utils)
seed (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
setup_paths() (in module gumbi.utils.generic_utils)
specify_model() (gumbi.regression.Regressor method)
specs (gumbi.aggregation.DataSet property)
(gumbi.aggregation.MetaFrame property)
Standardizer (class in gumbi.aggregation)
stdz() (gumbi.aggregation.Standardizer method)
stdzr (gumbi.arrays.ParameterArray attribute)
(gumbi.arrays.UncertainParameterArray attribute)
sum() (gumbi.arrays.UncertainArray method)
(gumbi.arrays.UncertainParameterArray method)
T
t (gumbi.aggregation.MetaFrame property)
(gumbi.aggregation.TidyData property)
(gumbi.aggregation.WideData property)
(gumbi.arrays.MVUncertainParameterArray property)
(gumbi.arrays.ParameterArray property)
(gumbi.arrays.UncertainParameterArray property)
tidy (gumbi.aggregation.DataSet property)
TidyData (class in gumbi.aggregation)
to_tidy() (gumbi.aggregation.WideData method)
to_wide() (gumbi.aggregation.TidyData method)
transform() (gumbi.aggregation.Standardizer method)
transforms (gumbi.aggregation.Standardizer property)
U
UncertainArray (class in gumbi.arrays)
UncertainParameterArray (class in gumbi.arrays)
unstdz() (gumbi.aggregation.Standardizer method)
untransform() (gumbi.aggregation.Standardizer method)
uparray() (gumbi.arrays.MVUncertainParameterArray method)
(gumbi.regression.Regressor method)
update_stdzr() (gumbi.aggregation.DataSet method)
V
validate() (gumbi.aggregation.Standardizer class method)
values() (gumbi.arrays.LayeredArray method)
var_transforms (gumbi.aggregation.Standardizer property)
W
wide (gumbi.aggregation.DataSet property)
WideData (class in gumbi.aggregation)
X
X (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
Y
y (gumbi.regression.GP attribute)
(gumbi.regression.Regressor attribute)
Z
z (gumbi.aggregation.MetaFrame property)
(gumbi.aggregation.TidyData property)
(gumbi.aggregation.WideData property)
(gumbi.arrays.MVUncertainParameterArray property)
(gumbi.arrays.ParameterArray property)
(gumbi.arrays.UncertainParameterArray property)
Μ
μ (gumbi.arrays.MVUncertainParameterArray property)
(gumbi.arrays.UncertainArray property)
(gumbi.arrays.UncertainParameterArray attribute)
Σ
σ (gumbi.arrays.MVUncertainParameterArray property)
(gumbi.arrays.UncertainArray property)
σ2 (gumbi.arrays.MVUncertainParameterArray property)
(gumbi.arrays.UncertainArray property)
(gumbi.arrays.UncertainParameterArray attribute)