teehr.metric_models

Classes representing available performance metrics.

Classes

ANNUAL_PEAK_RBIAS	Annual Peak Relative Bias.
AVERAGE	Average.
COUNT	Count.
KGE	Kling-Gupta Efficiency.
KGE_Mod1	Kling-Gupta Efficiency - modified 1 (2012).
KGE_Mod2	Kling-Gupta Efficiency - modified 2 (2021).
MAE	Mean Absolute Error.
MAXIMUM	Maximum.
MAX_VALUE_DELTA	Max Value Delta.
MAX_VALUE_TIME	Max Value Time.
MAX_VALUE_TIME_DELTA	Max Value Time Delta.
ME	Mean Error.
MINIMUM	Minimum.
MSE	Mean Square Error.
MULT_BIAS	Multiplicative Bias.
Metrics	Define and customize performance metrics.
MetricsBasemodel	Metrics Basemodel configuration.
NNSE	Normalized Nash-Sutcliffe Efficiency.
NSE	Nash-Sutcliffe Efficiency.
PEARSON_R	Pearson Correlation.
R2	Coefficient of Determination.
REL_BIAS	Relative Bias.
REL_MAE	Relative Mean Absolute Error.
RMSE	Root Mean Squared Error.
RSR	Root Mean Standard Deviation Ratio.
SPEARMAN_R	Spearman Rank Correlation Coefficient.
SUM	Sum.
VARIANCE	Variance.