heamy
latest
Usage
Installation
Contributing
heamy.dataset module
heamy.estimator module
heamy.pipeline module
heamy.feature module
heamy
Docs
»
Index
Edit on GitHub
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
V
|
W
|
X
|
Y
A
add() (heamy.pipeline.ModelsPipeline method)
,
[1]
apply() (heamy.pipeline.ModelsPipeline method)
,
[1]
available (heamy.cache.Cache attribute)
B
BaseEstimator (class in heamy.estimator)
blend() (heamy.estimator.BaseEstimator method)
(heamy.estimator.Classifier method)
(heamy.estimator.Regressor method)
(heamy.pipeline.ModelsPipeline method)
,
[1]
C
Cache (class in heamy.cache)
Classifier (class in heamy.estimator)
,
[1]
concat() (in module heamy.utils.main)
D
Dataset (class in heamy.dataset)
,
[1]
E
estimator_name (heamy.estimator.BaseEstimator attribute)
execute() (heamy.pipeline.PipeApply method)
F
feature_combiner() (in module heamy.utils.main)
find_weights() (heamy.pipeline.ModelsPipeline method)
,
[1]
flush_cache() (in module heamy.utils.main)
G
generate_columns() (in module heamy.utils.main)
gmean() (heamy.pipeline.ModelsPipeline method)
,
[1]
group_models() (in module heamy.utils.main)
H
hash (heamy.dataset.Dataset attribute)
,
[1]
(heamy.estimator.BaseEstimator attribute)
heamy (module)
heamy.cache (module)
heamy.dataset (module)
,
[1]
heamy.estimator (module)
,
[1]
heamy.pipeline (module)
,
[1]
heamy.utils (module)
heamy.utils.main (module)
heamy.utils.optimizer (module)
I
idx() (in module heamy.utils.main)
K
kfold() (heamy.dataset.Dataset method)
,
[1]
L
load() (heamy.dataset.Dataset method)
loaded (heamy.dataset.Dataset attribute)
loss_func() (heamy.utils.optimizer.Optimizer method)
M
max() (heamy.pipeline.ModelsPipeline method)
,
[1]
mean() (heamy.pipeline.ModelsPipeline method)
,
[1]
merge() (heamy.dataset.Dataset method)
,
[1]
min() (heamy.pipeline.ModelsPipeline method)
,
[1]
minimize() (heamy.utils.optimizer.Optimizer method)
ModelsPipeline (class in heamy.pipeline)
,
[1]
N
name (heamy.dataset.Dataset attribute)
(heamy.estimator.BaseEstimator attribute)
np_hash() (in module heamy.cache)
numpy_buffer() (in module heamy.cache)
O
Optimizer (class in heamy.utils.optimizer)
P
PipeApply (class in heamy.pipeline)
predict() (heamy.estimator.BaseEstimator method)
problem (heamy.estimator.BaseEstimator attribute)
(heamy.estimator.Classifier attribute)
(heamy.estimator.Regressor attribute)
R
Regressor (class in heamy.estimator)
,
[1]
report_score() (in module heamy.utils.main)
reshape_1d() (in module heamy.utils.main)
retrieve() (heamy.cache.Cache method)
S
split() (heamy.dataset.Dataset method)
,
[1]
stack() (heamy.estimator.BaseEstimator method)
(heamy.estimator.Classifier method)
(heamy.estimator.Regressor method)
(heamy.pipeline.ModelsPipeline method)
,
[1]
store() (heamy.cache.Cache method)
T
to_csc() (heamy.dataset.Dataset method)
,
[1]
to_csr() (heamy.dataset.Dataset method)
,
[1]
to_dense() (heamy.dataset.Dataset method)
,
[1]
tsplit() (in module heamy.utils.main)
V
validate() (heamy.estimator.BaseEstimator method)
(heamy.estimator.Classifier method)
(heamy.estimator.Regressor method)
(heamy.pipeline.PipeApply method)
W
weight() (heamy.pipeline.ModelsPipeline method)
,
[1]
X
X_test (heamy.dataset.Dataset attribute)
X_train (heamy.dataset.Dataset attribute)
xgb_progressbar() (in module heamy.utils.main)
Y
y_test (heamy.dataset.Dataset attribute)
y_train (heamy.dataset.Dataset attribute)
Read the Docs
v: latest
Versions
latest
Downloads
pdf
htmlzip
epub
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.