MDN.benchmarks Namespace Reference

Namespaces
	_template
	meta
	utils

Functions
def	get_models (wavelengths, sensor, product, debug=False, allow_opt=False, method=None, **kwargs)
def	run_benchmarks (sensor, x_test, y_test=None, x_train=None, y_train=None, slices=None, args=None, *product='chl', bands=None, verbose=False, return_rs=True, return_ml=False, return_opt=False, kwargs_rs={}, kwargs_ml={}, kwargs_opt={})

Function Documentation

get_models()

def MDN.benchmarks.get_models	(		wavelengths,
			sensor,
			product,
			debug = False,
			allow_opt = False,
			method = None,
		**	kwargs
	)

Retrieve all benchmark functions from the appropriate product
    directory. Import each function with "model" in the function
    name, ensure any necessary parameters have a default value 
    available, and test whether the function can be run with the
    given wavelengths. A template folder for new algorithms is 
    available in the Benchmarks directory.

Definition at line 14 of file __init__.py.

run_benchmarks()

def MDN.benchmarks.run_benchmarks	(		sensor,
			x_test,
			y_test = None,
			x_train = None,
			y_train = None,
			slices = None,
			args = None,
		*	product = 'chl',
			bands = None,
			verbose = False,
			return_rs = True,
			return_ml = False,
			return_opt = False,
			kwargs_rs = {},
			kwargs_ml = {},
			kwargs_opt = {}
	)

Definition at line 51 of file __init__.py.