piel.experimental.analysis.operating_point

Functions

create_experiment_data_collection_from_unique_parameters(...)

Each individual raw ExperimentData can contain multiple operating points or unique parameters which are being

Module Contents

create_experiment_data_collection_from_unique_parameters(experiment_data: piel.types.experimental.ExperimentData) → piel.types.experimental.ExperimentDataCollection

Each individual raw ExperimentData can contain multiple operating points or unique parameters which are being tested. It can be handy to create subsets of ExperimentData -> multiple ExperimentData``s that correspond to relevant operating points stored with the relevant parameters both internally and in an ``ExperimentDataCollection. As such, it is easier to understand the collection of data measurements based on this and perform plotting accordingly in a more relevant implementation. Likewise, the corresponding operating point metadata is encoded in the generated ExperimentData sets.

First, we will need to extract the operating points from the ExperimentData.experiment.parameters. This can be done by identifying the unique elements from the pandas DataFrame. Then, we will need to create a new ExperimentData for each of the operating points. Finally, we will need to create a new ExperimentDataCollection with the new ExperimentData.