zea.models.dense

Dense models and architectures

Functions

get_dense_network(input_dim, widths, output_dim)	Simple feedforward network
get_time_conditional_dense_network(...[, ...])	Dense network with time-conditional sinusoidal embedding

Classes

DenseNet(*args, **kwargs)	Simple dense model
DenseTimeConditionalNet(*args, **kwargs)	Dense model with time-conditional sinusoidal embedding

class zea.models.dense.DenseNet(*args, **kwargs)

Bases: BaseModel

Simple dense model

call(*args, **kwargs)

get_config()

Returns the config of the object.

An object config is a Python dictionary (serializable) containing the information needed to re-instantiate it.

class zea.models.dense.DenseTimeConditionalNet(*args, **kwargs)

Bases: BaseModel

Dense model with time-conditional sinusoidal embedding

call(*args, **kwargs)

get_config()

Returns the config of the object.

An object config is a Python dictionary (serializable) containing the information needed to re-instantiate it.

zea.models.dense.get_dense_network(input_dim, widths, output_dim)

Simple feedforward network

zea.models.dense.get_time_conditional_dense_network(input_dim, widths, output_dim, embedding_min_frequency=1.0, embedding_max_frequency=1000.0, embedding_dims=32)

Dense network with time-conditional sinusoidal embedding