blocksnet.machine_learning

class blocksnet.machine_learning.BaseContext(strategy: BaseStrategy)[source]

Bases: ABC

property strategy

abstract classmethod default() → BaseContext[source]

abstract train(*args, **kwargs)[source]

abstract run(*args, **kwargs)[source]

class blocksnet.machine_learning.BaseStrategy(model_cls, model_params: dict = {})[source]

Bases: ABC

property model

abstract train(*args, **kwargs)[source]

abstract predict(*args, **kwargs) → ndarray[source]

save(path: str)[source]: Must call super().save(path) if overridden.

load(path: str)[source]: Must call super().load(path) if overridden.

class blocksnet.machine_learning.ClassificationBase[source]

Bases: ABC

abstract predict_proba(*args, **kwargs)[source]

Modules

`blocksnet.machine_learning.context`
`blocksnet.machine_learning.strategy`