coopihc.inference.CascadedInferenceEngine.CascadedInferenceEngine

class CascadedInferenceEngine(engine_list, *args, **kwargs)[source]

Bases: coopihc.inference.BaseInferenceEngine.BaseInferenceEngine

ExampleInferenceEngine

Combine two or more inference engines serially. Example code:

first_inference_engine = ProvideLikelihoodInferenceEngine(perceptualnoise)
second_inference_engine = LinearGaussianContinuous()
inference_engine = CascadedInferenceEngine(
    [first_inference_engine, second_inference_engine]
)

Methods

`add_observation`	add observation
`bind`	Bind function to the engine with a given name.
`default_value`	Apply this decorator to use self.agent_observation as default value to infer from if agent_observation = None
`infer`
`render`
`reset`	reset _summary_

Attributes

`action`	The agent's last action
`host`
`observation`	The last observation.
`role`
`state`	The current agent state
`unwrapped`

property action

The agent’s last action

Returns: agent action
Return type: State

add_observation(observation)[source]

add observation

Add an observation to a buffer. If the buffer does not exist, create a naive buffer. The buffer has a size given by buffer length

Parameters: observation (State) – observation produced by an engine

bind(func, as_name=None)

Bind function to the engine with a given name. If as_name is None, then the func name is used.

Parameters

func (function) – function to bind
as_name (string, optional) – name of resulting method, defaults to None

Returns

bound method

Return type

method

default_value(): Apply this decorator to use self.agent_observation as default value to infer from if agent_observation = None

property observation

The last observation.

Returns: last observation
Return type: State

reset(random=True)

reset _summary_

Empty the buffer

Parameters: random (bool, optional) – whether to randomize parameters internal to the inference engine. This is provided in case of subclass the BaseInferenceEngine, defaults to True.

property state

The current agent state

Returns: agent state
Return type: State