Microsplit Algorithm Config

Source

MicroSplit algorithm configuration.

`MicroSplitAlgorithm`

Bases: VAEBasedAlgorithm

MicroSplit algorithm configuration.

`optimizer = OptimizerConfig()` `class-attribute` `instance-attribute`

Optimizer to use, defined in SupportedOptimizer.

`algorithm_cross_validation()`

Validate the algorithm model based on algorithm.

Returns:

Type	Description
`Self`	The validated model.

`get_algorithm_citations()`

Return a list of citation entries of the current algorithm.

This is used to generate the model description for the BioImage Model Zoo.

Returns:

Type	Description
`List[CiteEntry]`	List of citation entries.

`get_algorithm_description()`

Get the algorithm description.

Returns:

Type	Description
`str`	Algorithm description.

`get_algorithm_friendly_name()`

Get the algorithm friendly name.

Returns:

Type	Description
`str`	Friendly name of the algorithm.

`get_algorithm_keywords()`

Get algorithm keywords.

Returns:

Type	Description
`list[str]`	List of keywords.

`get_algorithm_references()`

Get the algorithm references.

This is used to generate the README of the BioImage Model Zoo export.

Returns:

Type	Description
`str`	Algorithm references.

`get_compatible_algorithms()` `classmethod`

Get the list of compatible algorithms.

Returns:

Type	Description
`list of str`	List of compatible algorithms.

`output_channels_validation()`

Validate the consistency between number of out channels and noise models.

Returns:

Type	Description
`Self`	The validated model.

`predict_logvar_validation()`

Validate the consistency of predict_logvar throughout the model.

Returns:

Type	Description
`Self`	The validated model.

Microsplit Algorithm Config