Functions
def	get_estimates (args, x_train=None, y_train=None, x_test=None, y_test=None, output_slices=None, dataset_labels=None, x_sim=None, y_sim=None, return_model=False, return_coefs=False)

def	apply_model (x_test, use_cmdline=True, **kwargs)

def	image_estimates (data, sensor=None, function=apply_model, rhos=False, anc=False, **kwargs)

def	print_dataset_stats (**kwargs)

def	generate_estimates (args, bands, x_train, y_train, x_test, y_test, slices, locs=None)

def	main ()

Function Documentation

◆ apply_model()

def MDN.product_estimation.apply_model	(		x_test,
			use_cmdline = `True`,
		**	kwargs
	)

Apply a model (defined by kwargs and default parameters) to x_test

Definition at line 135 of file product_estimation.py.

◆ generate_estimates()

def MDN.product_estimation.generate_estimates	(	args,
		bands,
		x_train,
		y_train,
		x_test,
		y_test,
		slices,
		locs = `None`
	)

Definition at line 212 of file product_estimation.py.

◆ get_estimates()

def MDN.product_estimation.get_estimates	(	args,
		x_train = `None`,
		y_train = `None`,
		x_test = `None`,
		y_test = `None`,
		output_slices = `None`,
		dataset_labels = `None`,
		x_sim = `None`,
		y_sim = `None`,
		return_model = `False`,
		return_coefs = `False`
	)

Estimate all target variables for the given x_test. If a model doesn't 
already exist, creates a model with the given training data.

Definition at line 20 of file product_estimation.py.

◆ image_estimates()

def MDN.product_estimation.image_estimates	(		data,
			sensor = `None`,
			function = `apply_model`,
			rhos = `False`,
			anc = `False`,
		**	kwargs
	)

Takes data of shape [Height, Width, Wavelengths] and returns the outputs of the 
given function for that image, in the same [H, W] shape. 
rhos and anc models are not yet available.

Definition at line 142 of file product_estimation.py.

◆ main()

def MDN.product_estimation.main ( )

Definition at line 222 of file product_estimation.py.

◆ print_dataset_stats()

def MDN.product_estimation.print_dataset_stats ( ** kwargs )

Print datasets shape & min / max stats per feature

Definition at line 195 of file product_estimation.py.