0.2.3
mlens.config
dtype
get_dtype
set_dtype
tmpdir
get_tmpdir
set_tmpdir
backend
get_backend
set_backend
start_method
get_start_method
set_start_method
prefix
get_prefix
set_prefix
ivals
get_ivals
set_ivals
Utility
clear_cache
mlens.ensemble
Base ensemble classes
Sequential
BaseEnsemble
Ready-made ensemble classes
SuperLearner
Subsemble
BlendEnsemble
TemporalEnsemble
Sequential
mlens.estimators
BaseEstimator
LearnerEstimator
TransformerEstimator
LayerEnsemble
mlens.model_selection
BaseEval
Evaluator
Benchmark
benchmark
mlens.index
Indexers
BaseIndex
FoldIndex
BlendIndex
SubsetIndex
ClusteredSubsetIndex
FullIndex
Utilities
prune_train
partition
make_tuple
mlens.parallel
Graph Nodes
Layer
Learner
Transformer
EvalLearner
EvalTransformer
BaseNode
SubLearner
SubTransformer
EvalSubTransformer
IndexedEstimator
Cache
Handles
Group
Pipeline
make_group
Wrappers
EstimatorMixin
run
Backend
BaseProcessor
ParallelProcessing
ParallelEvaluation
Job
dump_array
Base classes
BaseBackend
BaseParallel
BaseEstimator
BaseStacker
Mixins
ParamMixin
IndexMixin
OutputMixin
ProbaMixin
mlens.preprocessing
Subset
Shift
mlens.metrics
Data
assemble_data
assemble_table
make_scorer
rmse
mape
wape
mlens.visualization
corrmat
clustered_corrmap
corr_X_y
pca_plot
pca_comp_plot
exp_var_plot
mlens
Docs
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Index
Index
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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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J
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L
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M
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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
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V
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W
_
__fitted__ (mlens.parallel.base.BaseEstimator attribute)
(mlens.parallel.base.BaseStacker attribute)
__indexer__ (mlens.parallel.base.IndexMixin attribute)
__init__() (mlens.parallel.base.BaseBackend method)
(mlens.parallel.base.BaseEstimator method)
(mlens.parallel.base.BaseParallel method)
(mlens.parallel.base.BaseStacker method)
__iter__() (mlens.parallel.base.BaseParallel method)
(mlens.parallel.base.BaseStacker method)
__stack__ (mlens.parallel.base.BaseStacker attribute)
__weakref__ (mlens.parallel.base.BaseBackend attribute)
(mlens.parallel.base.IndexMixin attribute)
(mlens.parallel.base.ProbaMixin attribute)
_check_indexer() (mlens.parallel.base.IndexMixin method)
_check_static_params() (mlens.parallel.base.ParamMixin method)
_get_indexers() (mlens.parallel.base.IndexMixin method)
_setup_3_output_columns() (mlens.parallel.base.OutputMixin method)
_store_static_params() (mlens.parallel.base.ParamMixin method)
A
add() (mlens.ensemble.BaseEnsemble method)
(mlens.ensemble.BlendEnsemble method)
(mlens.ensemble.SequentialEnsemble method)
(mlens.ensemble.Subsemble method)
(mlens.ensemble.SuperLearner method)
(mlens.ensemble.TemporalEnsemble method)
add_meta() (mlens.ensemble.BlendEnsemble method)
(mlens.ensemble.SequentialEnsemble method)
(mlens.ensemble.Subsemble method)
(mlens.ensemble.SuperLearner method)
(mlens.ensemble.TemporalEnsemble method)
args() (mlens.parallel.backend.Job method)
assemble_data() (in module mlens.metrics)
assemble_table() (in module mlens.metrics)
B
BaseBackend (class in mlens.parallel.base)
BaseEnsemble (class in mlens.ensemble)
BaseEstimator (class in mlens.estimators)
(class in mlens.parallel.base)
BaseEval (class in mlens.model_selection)
BaseIndex (class in mlens.index)
BaseNode (class in mlens.parallel.learner)
BaseParallel (class in mlens.parallel.base)
BaseProcessor (class in mlens.parallel.backend)
BaseStacker (class in mlens.parallel.base)
Benchmark (class in mlens.model_selection)
benchmark() (in module mlens.model_selection)
BlendEnsemble (class in mlens.ensemble)
BlendIndex (class in mlens.index)
C
Cache (class in mlens.parallel.learner)
classes_ (mlens.parallel.base.ProbaMixin attribute)
clear() (mlens.parallel.backend.BaseProcessor method)
(mlens.parallel.backend.Job method)
(mlens.parallel.learner.BaseNode method)
clear_cache() (in module mlens.config)
cloned_estimator (mlens.parallel.learner.BaseNode attribute)
clustered_corrmap() (in module mlens.visualization)
ClusteredSubsetIndex (class in mlens.index)
collect() (mlens.model_selection.BaseEval method)
(mlens.parallel.layer.Layer method)
(mlens.parallel.learner.BaseNode method)
corr_X_y() (in module mlens.visualization)
corrmat() (in module mlens.visualization)
D
Data (class in mlens.metrics)
data (mlens.ensemble.BaseEnsemble attribute)
(mlens.ensemble.Sequential attribute)
(mlens.parallel.layer.Layer attribute)
(mlens.parallel.learner.BaseNode attribute)
(mlens.parallel.learner.EvalSubLearner attribute)
(mlens.parallel.learner.SubLearner attribute)
(mlens.parallel.learner.SubTransformer attribute)
dump_array() (in module mlens.parallel.backend)
E
estimator (mlens.parallel.learner.IndexedEstimator attribute)
EstimatorMixin (class in mlens.parallel.wrapper)
EvalLearner (class in mlens.parallel.learner)
EvalSubLearner (class in mlens.parallel.learner)
EvalTransformer (class in mlens.parallel.learner)
Evaluator (class in mlens.model_selection)
exp_var_plot() (in module mlens.visualization)
F
fit() (mlens.ensemble.BaseEnsemble method)
(mlens.ensemble.Sequential method)
(mlens.index.BaseIndex method)
(mlens.index.BlendIndex method)
(mlens.index.ClusteredSubsetIndex method)
(mlens.index.FoldIndex method)
(mlens.index.FullIndex method)
(mlens.index.SubsetIndex method)
(mlens.model_selection.Benchmark method)
(mlens.model_selection.Evaluator method)
(mlens.parallel.handles.Pipeline method)
(mlens.parallel.learner.EvalSubLearner method)
(mlens.parallel.learner.SubLearner method)
(mlens.parallel.learner.SubTransformer method)
(mlens.parallel.wrapper.EstimatorMixin method)
(mlens.preprocessing.Shift method)
(mlens.preprocessing.Subset method)
fit_transform() (mlens.ensemble.BaseEnsemble method)
(mlens.ensemble.Sequential method)
(mlens.parallel.handles.Pipeline method)
(mlens.parallel.wrapper.EstimatorMixin method)
FoldIndex (class in mlens.index)
FullIndex (class in mlens.index)
G
gen_fit() (mlens.parallel.learner.BaseNode method)
(mlens.parallel.learner.EvalLearner method)
gen_predict() (mlens.parallel.learner.BaseNode method)
gen_transform() (mlens.parallel.learner.BaseNode method)
generate() (mlens.index.BaseIndex method)
get_backend() (in module mlens.config)
get_dtype() (in module mlens.config)
get_ivals() (in module mlens.config)
get_params() (mlens.estimators.LayerEnsemble method)
(mlens.parallel.base.BaseEstimator method)
(mlens.parallel.base.BaseStacker method)
(mlens.parallel.handles.Group method)
(mlens.parallel.handles.Pipeline method)
get_preds() (mlens.parallel.backend.ParallelProcessing method)
get_prefix() (in module mlens.config)
get_start_method() (in module mlens.config)
get_tmpdir() (in module mlens.config)
Group (class in mlens.parallel.handles)
I
IndexedEstimator (class in mlens.parallel.learner)
indexers (mlens.parallel.layer.Layer attribute)
IndexMixin (class in mlens.parallel.base)
initialize() (mlens.parallel.backend.BaseProcessor method)
J
Job (class in mlens.parallel.backend)
L
Layer (class in mlens.parallel.layer)
LayerEnsemble (class in mlens.estimators)
Learner (class in mlens.parallel.learner)
learner (mlens.parallel.learner.BaseNode attribute)
LearnerEstimator (class in mlens.estimators)
learners (mlens.parallel.layer.Layer attribute)
M
make_group() (in module mlens.parallel.handles)
make_scorer() (in module mlens.metrics)
make_tuple() (in module mlens.index)
map() (mlens.parallel.backend.ParallelProcessing method)
mape() (in module mlens.metrics)
mlens.config (module)
mlens.ensemble (module)
mlens.estimators (module)
mlens.index (module)
mlens.metrics (module)
mlens.model_selection (module)
mlens.parallel (module)
mlens.preprocessing (module)
mlens.visualization (module)
model_selection (mlens.ensemble.BaseEnsemble attribute)
O
OutputMixin (class in mlens.parallel.base)
P
ParallelEvaluation (class in mlens.parallel.backend)
ParallelProcessing (class in mlens.parallel.backend)
ParamMixin (class in mlens.parallel.base)
partition() (in module mlens.index)
(mlens.index.BaseIndex method)
(mlens.index.ClusteredSubsetIndex method)
(mlens.index.SubsetIndex method)
pca_comp_plot() (in module mlens.visualization)
pca_plot() (in module mlens.visualization)
Pipeline (class in mlens.parallel.handles)
pop() (mlens.estimators.LayerEnsemble method)
(mlens.parallel.base.BaseStacker method)
predict() (mlens.ensemble.BaseEnsemble method)
(mlens.ensemble.Sequential method)
(mlens.parallel.learner.SubLearner method)
(mlens.parallel.learner.SubTransformer method)
(mlens.parallel.wrapper.EstimatorMixin method)
predict_proba() (mlens.ensemble.BaseEnsemble method)
ProbaMixin (class in mlens.parallel.base)
process() (mlens.parallel.backend.ParallelEvaluation method)
(mlens.parallel.backend.ParallelProcessing method)
prune_train() (in module mlens.index)
push() (mlens.estimators.LayerEnsemble method)
(mlens.parallel.base.BaseStacker method)
R
raw_data (mlens.model_selection.BaseEval attribute)
(mlens.parallel.layer.Layer attribute)
(mlens.parallel.learner.BaseNode attribute)
rebase() (mlens.parallel.backend.Job method)
remove() (mlens.ensemble.BaseEnsemble method)
replace() (mlens.ensemble.BaseEnsemble method)
(mlens.parallel.base.BaseStacker method)
rmse() (in module mlens.metrics)
run() (in module mlens.parallel.wrapper)
S
scorer (mlens.parallel.learner.Learner attribute)
Sequential (class in mlens.ensemble)
SequentialEnsemble (class in mlens.ensemble)
set_backend() (in module mlens.config)
set_dtype() (in module mlens.config)
set_indexer() (mlens.parallel.learner.BaseNode method)
set_ivals() (in module mlens.config)
set_output_columns() (mlens.parallel.base.OutputMixin method)
(mlens.parallel.layer.Layer method)
(mlens.parallel.learner.BaseNode method)
set_params() (mlens.index.BaseIndex method)
set_prefix() (in module mlens.config)
set_start_method() (in module mlens.config)
set_tmpdir() (in module mlens.config)
setup() (mlens.parallel.base.BaseParallel method)
shape() (mlens.parallel.base.OutputMixin method)
Shift (class in mlens.preprocessing)
shuffle() (mlens.parallel.backend.Job method)
size() (mlens.parallel.base.OutputMixin method)
stack() (mlens.parallel.backend.ParallelProcessing method)
subdir() (mlens.parallel.backend.Job method)
SubLearner (class in mlens.parallel.learner)
sublearners (mlens.parallel.learner.BaseNode attribute)
Subsemble (class in mlens.ensemble)
Subset (class in mlens.preprocessing)
SubsetIndex (class in mlens.index)
SubTransformer (class in mlens.parallel.learner)
SuperLearner (class in mlens.ensemble)
T
TemporalEnsemble (class in mlens.ensemble)
times (mlens.parallel.learner.BaseNode attribute)
transform() (mlens.ensemble.BaseEnsemble method)
(mlens.ensemble.Sequential method)
(mlens.parallel.handles.Pipeline method)
(mlens.parallel.learner.SubLearner method)
(mlens.parallel.learner.SubTransformer method)
(mlens.parallel.wrapper.EstimatorMixin method)
(mlens.preprocessing.Shift method)
(mlens.preprocessing.Subset method)
Transformer (class in mlens.parallel.learner)
TransformerEstimator (class in mlens.estimators)
transformers (mlens.parallel.layer.Layer attribute)
U
update() (mlens.parallel.backend.Job method)
V
verbose (mlens.ensemble.BaseEnsemble attribute)
(mlens.parallel.base.BaseStacker attribute)
W
wape() (in module mlens.metrics)