Tool Maximum Entropy Classifcation
Maximum Entropy Classifcation
References
- Author: O.Conrad (c) 2015
- Menu: Imagery|Classification|Machine Learning
Parameters
| Name | Type | Identifier | Description | Constraints |
Input | Training Areas | Shapes, input | TRAINING | - | - |
Numerical Features (*) | Grid list, input, optional | FEATURES_NUM | - | - |
Categorical Features (*) | Grid list, input, optional | FEATURES_CAT | - | - |
Output | Classes | Grid, output | CLASSES | - | - |
Look-up Table (*) | Table, output, optional | CLASSES_LUT | A reference list of the grid values that have been assigned to the training classes. | - |
Probability | Grid, output | PROB | - | - |
Probabilities | Grid list, output | PROBS | - | - |
Options | Grid System | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
Class Name | Table field | FIELD | - | - |
Create Propabilities | Boolean | PROBS_CREATE | - | Default: 0 |
Method | Choice | METHOD | - | Available Choices: [0] Yoshimasa Tsuruoka [1] Dekang Lin Default: 0 |
Load from File... | File path | YT_FILE_LOAD | - | - |
Save to File... | File path | YT_FILE_SAVE | - | - |
Regularization | Choice | YT_REGUL | - | Available Choices: [0] none [1] L1 [2] L2 Default: 1 |
Regularization Factor | Floating point | YT_REGUL_VAL | - | Minimum: 0.000000 Default: 1.000000 |
Real-valued Numerical Features | Boolean | YT_NUMASREAL | - | Default: 1 |
Alpha | Floating point | DL_ALPHA | - | Default: 0.100000 |
Threshold | Floating point | DL_THRESHOLD | - | Minimum: 0.000000 Default: 0.000000 |
Maximum Iterations | Integer | DL_ITERATIONS | - | Minimum: 1 Default: 100 |
Number of Numeric Value Classes | Integer | NUM_CLASSES | - | Minimum: 1 Default: 32 |
Minimum Probability | Floating point | PROB_MIN | Minimum 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>] [-CLASSES_LUT <str>] [-PROB <str>] [-PROBS <str>] [-PROBS_CREATE <str>] [-METHOD <str>] [-YT_FILE_LOAD <str>] [-YT_FILE_SAVE <str>] [-YT_REGUL <str>] [-YT_REGUL_VAL <double>] [-YT_NUMASREAL <str>] [-DL_ALPHA <double>] [-DL_THRESHOLD <double>] [-DL_ITERATIONS <num>] [-NUM_CLASSES <num>] [-PROB_MIN <double>]
-TRAINING:<str> Training Areas
Shapes, input
-FIELD:<str> Class Name
Table field
-FEATURES_NUM:<str> Numerical Features
Grid list, input, optional
-FEATURES_CAT:<str> Categorical Features
Grid list, input, optional
-CLASSES:<str> Classes
Grid, output
-CLASSES_LUT:<str> Look-up Table
Table, output, optional
-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:<double> Regularization Factor
Floating point
Minimum: 0.000000
Default: 1.000000
-YT_NUMASREAL:<str> Real-valued Numerical Features
Boolean
Default: 1
-DL_ALPHA:<double> Alpha
Floating point
Default: 0.100000
-DL_THRESHOLD:<double> 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:<double> Minimum Probability
Floating point
Minimum: 0.000000
Maximum: 1.000000
Default: 0.000000