MDN.product_estimation Namespace Reference

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.