scikit-assist
A flexible library for managing and running data science experiments
API
Release History
Roadmap
Index
A
|
B
|
C
|
D
|
E
|
F
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K
|
L
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M
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N
|
Q
|
R
|
S
A
add() (skassist.library.Experiment method)
(skassist.library.Library method)
B
BaseEstimator (class in skassist.models)
boolean_func() (in module doc_definitions)
C
calc_result() (skassist.library.Model method)
calc_results() (skassist.library.Experiment method)
D
delete() (skassist.library.Library method)
doc_definitions (module)
E
evaluate() (skassist.library.Model method)
Experiment (class in skassist.library)
F
find() (skassist.library.Experiment method)
(skassist.library.Library method)
findone() (skassist.library.Experiment method)
(skassist.library.Library method)
fit() (skassist.library.Model method)
K
Kane4 (class in skassist.models.uplift)
L
Library (class in skassist.library)
LocalFiles (class in skassist.local_store)
M
makeDirectoryPath() (in module skassist.local_store.helpers)
Model (class in skassist.library)
N
New() (skassist.library.Experiment class method)
(skassist.library.Model class method)
Q
qini_curve() (in module skassist.evaluation.uplift)
R
RealistUplift (class in skassist.models.uplift)
ReflectiveUplift4 (class in skassist.models.uplift)
reset_predictions() (skassist.library.Model method)
reset_results() (skassist.library.Model method)
S
scoring_function() (in module doc_definitions)
skassist (module)
skassist.evaluation (module)
skassist.evaluation.uplift (module)
skassist.library (module)
skassist.local_store (module)
skassist.local_store.helpers (module)
skassist.models (module)
skassist.models.uplift (module)