Optimizer

Public Member Functions
def	__init__ (self, function, opt_vars, has_default)
def	__call__ (self, *args, **kwargs)
def	fit (self, X, Y, wavelengths)
def	predict (self, *args, **kwargs)

Public Attributes
	function
	trained_function
	opt_vars
	has_default

Detailed Description

Allow benchmark function parameters to be optimized via a set of training data 

Definition at line 120 of file utils.py.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			function,
			opt_vars,
			has_default
	)

Definition at line 123 of file utils.py.

Member Function Documentation

__call__()

def __call__	(		self,
		*	args,
		**	kwargs
	)

Definition at line 128 of file utils.py.

fit()

def fit	(		self,
			X,
			Y,
			wavelengths
	)

Definition at line 133 of file utils.py.

predict()

def predict	(		self,
		*	args,
		**	kwargs
	)

Definition at line 147 of file utils.py.

Member Data Documentation

function

function

Definition at line 124 of file utils.py.

has_default

has_default

Definition at line 126 of file utils.py.

opt_vars

opt_vars

Definition at line 125 of file utils.py.

trained_function

trained_function

Definition at line 124 of file utils.py.

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The documentation for this class was generated from the following file:

• /gfs-oceanweb/web/ocssw/ocssw_src/src/aquaverse/MDN/benchmarks/utils.py