ambhas::errlib Namespace Reference

Functions
def	filter_nan
def	pc_bias
def	apb
def	rmse
def	mae
def	bias
def	NS
def	L
def	correlation

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Function Documentation

def ambhas.errlib.apb	(		s,
			o
	)

Absolute Percent Bias
input:
    s: simulated
    o: observed
output:
    apb_bias: absolute percent bias

Definition at line 54 of file errlib.py.

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def ambhas.errlib.bias	(		s,
			o
	)

Bias
input:
    s: simulated
    o: observed
output:
    bias: bias

Definition at line 90 of file errlib.py.

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def ambhas.errlib.correlation	(		s,
			o
	)

correlation coefficient
input:
    s: simulated
    o: observed
output:
    correlation: correlation coefficient

Definition at line 126 of file errlib.py.

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def ambhas.errlib.filter_nan	(		s,
			o
	)

this functions removed the data  from simulated and observed data
whereever the observed data contains nan

this is used by all other functions, otherwise they will produce nan as 
output

Definition at line 29 of file errlib.py.

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def ambhas.errlib.L	(		s,
			o,
			N = 5
	)

Likelihood 
input:
    s: simulated
    o: observed
output:
    L: likelihood

Definition at line 114 of file errlib.py.

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def ambhas.errlib.mae	(		s,
			o
	)

Mean Absolute Error
input:
    s: simulated
    o: observed
output:
    maes: mean absolute error

Definition at line 78 of file errlib.py.

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def ambhas.errlib.NS	(		s,
			o
	)

Nash Sutcliffe efficiency coefficient
input:
    s: simulated
    o: observed
output:
    ns: Nash Sutcliffe efficient coefficient

Definition at line 102 of file errlib.py.

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def ambhas.errlib.pc_bias	(		s,
			o
	)

Percent Bias
input:
    s: simulated
    o: observed
output:
    pc_bias: percent bias

Definition at line 42 of file errlib.py.

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def ambhas.errlib.rmse	(		s,
			o
	)

Root Mean Squared Error
input:
    s: simulated
    o: observed
output:
    rmses: root mean squared error

Definition at line 66 of file errlib.py.

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