brainpy.train.base.DSTrainer#

class brainpy.train.base.DSTrainer(target, **kwargs)[source]#

Structural Trainer for Dynamical Systems.

__init__(target, **kwargs)[source]#

Methods

__init__(target, **kwargs)

build_monitors(return_without_idx, ...)

f_predict([shared_args])

fit(train_data[, reset_state, shared_args])

rtype

TypeVar(Output)

format_monitors()

predict(inputs[, reset_state, shared_args, ...])

Prediction function.

reset_state()

run(*args, **kwargs)

Predict a series of input data with the given target model.

Attributes

target

train_nodes