src.model.deeplearn.dlrun.hierarchical_pre_processor

Classes

HierarchicalPreProcessor(**kwargs)

class src.model.deeplearn.dlrun.hierarchical_pre_processor.HierarchicalPreProcessor(**kwargs)

Author:

Alberto M. Esmoris Pena

Preprocess the input dictionary of X (coordinates), F (features), and y (expected values) so it can be feed into a hierarchical neural network (e.g., hierarchical autoencoder).

Variables:

• pre_processor_type (str) – String representing the type of pre-processor to generate the Input for the hierarchical neural network.

• pre_processor (HierarchicalFPSPreProcessor.) – The pre-processor itself (instantiated).

__init__(**kwargs)

Initialization/instantiation of a hierarchical pre-processor.

Parameters:

kwargs – The key-word arguments for the HierarchicalPreProcessor.

__call__(inputs)

Executes the pre-processing logic.

Parameters:

inputs (dict) – A key-word input where the key “X” gives the input dataset and the “y” (OPTIONALLY) gives the reference values that can be used to fit/train a hierarchical model.

Returns:

Either (X, F, …NDi…, …Ni…, …NUi… yout) or (X, F, …NDi…, …Ni…, …NUi…). Where X are the input points, F are the input features, NDi are point-wise downsamlping neighborhoods at depth i, Ni are the point-wise neighborhoods at depth i, and NUi are the point-wise upsampling neighborhoods at depth i.

overwrite_pretrained_model(spec)

Assist the model.Model.overwrite_pretrained_model() method through assisting the architecture.Architecture.overwrite_pretrained_model() method.

Parameters:

spec (dict) – The key-word specification containing the model’s arguments.

to_temporary_file()

Redirect call to underlying ReceptiveFieldPreProcessor.to_temporary_file() (self.pre_processor).

from_temporary_file()

Redirect call to underlying ReceptiveFieldPreProcessor.from_temporary_file() (self.pre_processor).