gw.gwutils.get_standardization_dict
gw.gwutils.get_standardization_dict(
extrinsic_prior_dict,
wfd,
selected_parameters,
transform=None,
)Calculates the mean and standard deviation of parameters. This is needed for standardizing neural-network input and output.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| extrinsic_prior_dict | dict | required | |
| wfd | WaveformDataset | required | |
| selected_parameters | list[str] | List of parameters for which to estimate standardization factors. | required |
| transform | Transform | Operator that will generate samples for parameters contained in selected_parameters that are not contained in the intrinsic or extrinsic prior. (E.g., H1_time, L1_time_proxy) | None |