HistoricalMap.function_historical_map.learnModel Class Reference

Learn model with a shp file and a raster image. More...

Collaboration diagram for HistoricalMap.function_historical_map.learnModel:

Public Member Functions
def	__init__
def	scale
	Function that standardize the data. More...

Detailed Description

Learn model with a shp file and a raster image.

Input : inRaster : Filtered image name ('sample_filtered.tif',str). inVector : Name of the training shpfile ('training.shp',str). inField : Column name where are stored class number (str). inSplit : (int). inSeed : (int). outModel : Name of the model to save, will be compulsory for the 3rd step (classifying). outMatrix : Default the name of the file inRaster(minus the extension)_inClassifier_inSeed_confu.csv (str). inClassifier : GMM,KNN,SVM, or RF. (str).

Output : Model file. Confusion Matrix.

Definition at line 114 of file function_historical_map.py.

Constructor & Destructor Documentation

def HistoricalMap.function_historical_map.learnModel.__init__	(		self,
			inRaster,
			inVector,
			inField = 'Class',
			inSplit = 0.5,
			inSeed = 0,
			outModel = None,
			outMatrix = None,
			inClassifier = 'GMM'
	)

Definition at line 132 of file function_historical_map.py.

Member Function Documentation

def HistoricalMap.function_historical_map.learnModel.scale	(		self,
			x,
			M = None,
			m = None
	)

Function that standardize the data.

Input: x: the data M: the Max vector m: the Min vector Output: x: the standardize data M: the Max vector m: the Min vector

Definition at line 282 of file function_historical_map.py.

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

• function_historical_map.py