morphoclass.transforms.scalers.abstract_scaler module

The abstract base class for all feature scalers.

class morphoclass.transforms.scalers.abstract_scaler.AbstractFeatureScaler(feature_indices, is_global_feature=False)

Bases: abc.ABC

Base abstract class for all feature scalers.

All derived classes must implement the _fit and _transform methods

Parameters

• feature_indices – List of indices of the feature maps to which to apply the scaling.

• is_global_feature – Apply scaler to global features rather than node features.

fit(dataset, idx=None)

Fit the scaler to data.

Parameters

• dataset (morphoclass.data.MorphologyDataset) – Data to which to fit the scaler.

• idx – Selects a subset of samples in the dataset to which to fit the data.

abstract get_config()

Generate the configuration necessary for reconstructing the scaler.

Returns

config – The configuration of the scaler. It should contain all information necessary for reconstructing the scaler using the scaler_from_config function.

Return type

dict

abstract reconstruct(params)

Reconstruct the configuration from parameters.

Parameters

params (dict) – The parameters found in config[“params”] with the config being the dictionary returned by get_config.