gaitmap.data_transform.TrainableTransformerMixin#

class gaitmap.data_transform.TrainableTransformerMixin[source]#

Mixin for transformers with adaptable parameters.

Methods

self_optimize(data, **kwargs)

Learn the parameters of the transformer based on provided data.
__init__(*args, **kwargs)#
self_optimize(data: Sequence[DataFrame], **kwargs) → Self[source]#

Learn the parameters of the transformer based on provided data.

Parameters:
data

A sequence of dataframes, each representing single-sensor data.

kwargs

Optional keword arguments

Returns:
self

The trained instance of the transformer

Examples using gaitmap.data_transform.TrainableTransformerMixin#

BarthDtw stride segmentation with Custom Template

BarthDtw stride segmentation with Custom Template

BarthDtw stride segmentation with Custom Template
Optimizable Pipelines

Optimizable Pipelines

Optimizable Pipelines
Cross Validation

Cross Validation

Cross Validation
GridSearchCV

GridSearchCV

GridSearchCV