nwm_region_mgr.parreg.config_schema

Defines classes for validating the configuration for parameter regionalization.

Classes:

• GeneralConfig: General configuration settings specific to parameter regionalization.

• DonorConfig: Configuration for donor selection.

• AttrDatasetConfig: Configuration for attribute datasets used in the regionalization process.

• AvailableAttrsConfig: Configuration for available attribute datasets for use in the regionalization process.

• SnowCoverConfig: Configuration for snow cover data.

• AlgorithmConfig: Algorithm configuration class.

• ParameterOutputConfig: Configuration for parameter regionalization output.

• Config: Top-level configuration class for parameter regionalization.

Classes

AlgoGeneral	General configurations shared by all regionalization algorithms.
AlgorithmConfig	Algorithm configuration class.
AttrDatasetConfig	Configuration for attribute datasets used in the regionalization process.
AvailableAttrsConfig	Configuration for available attribute datasets for use in the regionalization process.
Birch	Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) algorithm class.
Config	Configuration class.
DonorConfig	Configuration for donor selection.
GeneralConfig	General configuration settings specific to parameter regionalization.
Gower	Configurations for the distance-based algorithm Gower.
HDBSCAN	Hierarchical Density Based Spatial Clustering of Applications with Noise (HDBSCAN) algorithm class.
KMeans	K-means algorithm class.
KMedoids	K-medoids algorithm class.
MetricEvalPeriod	Configuration for the evaluation period of metrics to be used for screening donors.
MetricThreshold	Configuration for the thresholds of metrics to be used for screening donors.
ParameterOutputConfig	Configuration for parameter regionalization output.
SnowCoverConfig	Configuration for snow cover.
URF	Unsupervised Random Forest (URF) algorithm class.