Bernoulli Target and Bernoulli Multi-Armed Bandit Surrogate#231

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julianStreibel wants to merge 22 commits intoemdgroup:mainfrom julianStreibel:feature/bernoulli_target

+331-5

Commits on May 7, 2024

Draft BernoulliMultiArmedBanditSurrogate class
julianStreibel
committed
Remove wrong/undesired default values

AdrianSosic
authored and
julianStreibel
committed
Use built-in validators for number of arms

AdrianSosic
authored and
julianStreibel
committed
Do not expose counts via constructor

AdrianSosic
authored and
julianStreibel
committed
Fix default, conversion and validation of beta prior attribute

AdrianSosic
authored and
julianStreibel
committed
Add factory for counts attribute

AdrianSosic
authored and
julianStreibel
committed
Add missing type hints

AdrianSosic
authored and
julianStreibel
committed
Avoid importing torch eagerly

AdrianSosic
authored and
julianStreibel
committed
Use built-in mean and var methods

AdrianSosic
authored and
julianStreibel
committed
Rename variance method to variances

AdrianSosic
authored and
julianStreibel
committed
Fix return value of _posterior method

AdrianSosic
authored and
julianStreibel
committed
Fix input validation of _fit method

AdrianSosic
authored and
julianStreibel
committed
Automatically infer number of arms

AdrianSosic
authored and
julianStreibel
committed
Rename attributes and methods

AdrianSosic
authored and
julianStreibel
committed
Adjust comment and docstring style

AdrianSosic
authored and
julianStreibel
committed
Ignore trained model for equality operator

AdrianSosic
authored and
julianStreibel
committed
Store prior parameters as tuple

AdrianSosic
authored and
julianStreibel
committed
Add TODO notes

AdrianSosic
authored and
julianStreibel
committed
Implemented the beta prior
julianStreibel
committed
Renamed bernoulli target to BinaryTarget and checked target values in campaign
julianStreibel
committed
reworked multi armed bandit example
julianStreibel
committed
Added pytests for the bernoulli multi arm bandit
julianStreibel
committed

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Bernoulli Target and Bernoulli Multi-Armed Bandit Surrogate#231

Commits on May 7, 2024

Draft BernoulliMultiArmedBanditSurrogate class

Remove wrong/undesired default values

Use built-in validators for number of arms

Do not expose counts via constructor

Fix default, conversion and validation of beta prior attribute

Add factory for counts attribute

Add missing type hints

Avoid importing torch eagerly

Use built-in mean and var methods

Rename variance method to variances

Fix return value of _posterior method

Fix input validation of _fit method

Automatically infer number of arms

Rename attributes and methods

Adjust comment and docstring style

Ignore trained model for equality operator

Store prior parameters as tuple

Add TODO notes

Implemented the beta prior

Renamed bernoulli target to BinaryTarget and checked target values in campaign

reworked multi armed bandit example

Added pytests for the bernoulli multi arm bandit