nwm_eval.calc_metrics

Functions for calculating metrics.

Functions:

• check_metrics: Validate a list of metric names against a known mapping (here a metrics library).

• calc_teehr_metrics: Calculate TEEHR metrics for a given dataframe of paired data.

• func_calc_metrics: Helper function to calculate nwm.eval metrics for a given dataframe of paired data.

• calc_nwm_eval_metrics: Calculate nwm.eval metrics for a given dataframe of paired data.

• parse_lead: Parse a lead time string, handling ‘m’ prefix for negative values.

• parse_lead_range: Parse lead strings of various formats.

• calc_metrics_group: Calculate metrics for a group of paired data.

• calc_metrics: Calculate metrics for all datasets as specified in the config.

Functions

calc_metrics	Calculate metrics for all datasets as specified in the config.
calc_metrics_group	Calculate metrics for a group of paired data.
calc_nwm_eval_metrics	Calculate nwm.eval metrics for a given dataframe of paired data.
calc_teehr_metrics	Calculate TEEHR metrics for a given dataframe of paired data.
check_metrics	Validate a list of metric names against a known mapping (here a metrics library).
func_calc_metrics	Calculate nwm.eval metrics for a given dataframe of paired data.
parse_lead	Parse a lead time string, handling 'm' prefix for negative values.
parse_lead_range	Parse lead strings of various formats.