SAGA-GIS Module Library Documentation (v2.2.2)

Module Maximum Entropy Classifcation


References:
- Yoshimasa Tsuruoka: A simple C++ library for maximum entropy classification. online.
- Dekang Lin: A MaxEnt Package in C++. online.

Parameters

 NameTypeIdentifierDescriptionConstraints
InputTraining AreasShapes (input)TRAINING--
Numerical Features (*)Grid list (optional input)FEATURES_NUM--
Categorical Features (*)Grid list (optional input)FEATURES_CAT--
OutputClassesGrid (output)CLASSES--
ProbabilityGrid (output)PROB--
ProbabilitiesGrid list (output)PROBS--
OptionsClass NameTable fieldFIELD--
Create PropabilitiesBooleanPROBS_CREATE-Default: 0
MethodChoiceMETHOD-Available Choices:
[0] Yoshimasa Tsuruoka
[1] Dekang Lin
Default: 0
Load from File...File pathYT_FILE_LOAD--
Save to File...File pathYT_FILE_SAVE--
RegularizationChoiceYT_REGUL-Available Choices:
[0] none
[1] L1
[2] L2
Default: 1
Regularization FactorFloating pointYT_REGUL_VAL-Minimum: 0.000000
Default: 1.000000
Real-valued Numerical FeaturesBooleanYT_NUMASREAL-Default: 1
AlphaFloating pointDL_ALPHA-Default: 0.100000
ThresholdFloating pointDL_THRESHOLD-Minimum: 0.000000
Default: 0.000000
Maximum IterationsIntegerDL_ITERATIONS-Minimum: 1
Default: 100
Number of Numeric Value ClassesIntegerNUM_CLASSES-Minimum: 1
Default: 32
Minimum ProbabilityFloating pointPROB_MINMinimum probability to accept a classification result for a cell.Minimum: 0.000000
Maximum: 1.000000
Default: 0.000000
(*) optional

Command-line

Usage: saga_cmd imagery_maxent 0 [-TRAINING <str>] [-FIELD <str>] [-FEATURES_NUM <str>] [-FEATURES_CAT <str>] [-CLASSES <str>] [-PROB <str>] [-PROBS <str>] [-PROBS_CREATE <str>] [-METHOD <str>] [-YT_FILE_LOAD <str>] [-YT_FILE_SAVE <str>] [-YT_REGUL <str>] [-YT_REGUL_VAL <str>] [-YT_NUMASREAL <str>] [-DL_ALPHA <str>] [-DL_THRESHOLD <str>] [-DL_ITERATIONS <num>] [-NUM_CLASSES <num>] [-PROB_MIN <str>]
  -TRAINING:<str>     	Training Areas
	Shapes (input)
  -FIELD:<str>        	Class Name
	Table field
  -FEATURES_NUM:<str> 	Numerical Features
	Grid list (optional input)
  -FEATURES_CAT:<str> 	Categorical Features
	Grid list (optional input)
  -CLASSES:<str>      	Classes
	Grid (output)
  -PROB:<str>         	Probability
	Grid (output)
  -PROBS:<str>        	Probabilities
	Grid list (output)
  -PROBS_CREATE:<str> 	Create Propabilities
	Boolean
	Default: 0
  -METHOD:<str>       	Method
	Choice
	Available Choices:
	[0] Yoshimasa Tsuruoka
	[1] Dekang Lin
	Default: 0
  -YT_FILE_LOAD:<str> 	Load from File...
	File path
  -YT_FILE_SAVE:<str> 	Save to File...
	File path
  -YT_REGUL:<str>     	Regularization
	Choice
	Available Choices:
	[0] none
	[1] L1
	[2] L2
	Default: 1
  -YT_REGUL_VAL:<str> 	Regularization Factor
	Floating point
	Minimum: 0.000000
	Default: 1.000000
  -YT_NUMASREAL:<str> 	Real-valued Numerical Features
	Boolean
	Default: 1
  -DL_ALPHA:<str>     	Alpha
	Floating point
	Default: 0.100000
  -DL_THRESHOLD:<str> 	Threshold
	Floating point
	Minimum: 0.000000
	Default: 0.000000
  -DL_ITERATIONS:<num>	Maximum Iterations
	Integer
	Minimum: 1
	Default: 100
  -NUM_CLASSES:<num>  	Number of Numeric Value Classes
	Integer
	Minimum: 1
	Default: 32
  -PROB_MIN:<str>     	Minimum Probability
	Floating point
	Minimum: 0.000000
	Maximum: 1.000000
	Default: 0.000000