Tool Random Forest Presence Prediction (ViGrA)
Random Forest Presence Prediction
References
- Author: O.Conrad (c) 2015
- Menu: Grid|Analysis|Macroecology
Parameters
| Name | Type | Identifier | Description | Constraints | |
|---|---|---|---|---|---|
| Input | Features | Grid list (input) | FEATURES | - | - |
| Presence Data | Shapes (input) | PRESENCE | - | - | |
| Output | Presence Prediction | Grid (output) | PREDICTION | - | - |
| Presence Probability (*) | Grid (optional output) | PROBABILITY | - | - | |
| Options | Grid System | Grid system | PARAMETERS_GRID_SYSTEM | - | - |
| Background Sample Density [Percent] | Floating point | BACKGROUND | - | Minimum: 0.000000 Maximum: 100.000000 Default: 1.000000 | |
| Minimum Redundancy Feature Selection | Boolean | DO_MRMR | Use only features selected by the minimum Redundancy Maximum Relevance (mRMR) algorithm | Default: 0 | |
| Number of Features | Integer | mRMR_NFEATURES | - | Minimum: 1 Default: 50 | |
| Discretization | Boolean | mRMR_DISCRETIZE | uncheck this means no discretizaton (i.e. data is already integer) | Default: 1 | |
| Discretization Threshold | Floating point | mRMR_THRESHOLD | a double number of the discretization threshold; set to 0 to make binarization | Minimum: 0.000000 Default: 1.000000 | |
| Selection Method | Choice | mRMR_METHOD | - | Available Choices: [0] Mutual Information Difference (MID) [1] Mutual Information Quotient (MIQ) Default: 0 | |
| Load Model | File path | RF_IMPORT | - | - | |
| Save Model | File path | RF_EXPORT | - | - | |
| Tree Count | Integer | RF_TREE_COUNT | How many trees to create? | Minimum: 1 Default: 32 | |
| Samples per Tree | Floating point | RF_TREE_SAMPLES | Specifies the fraction of the total number of samples used per tree for learning. | Minimum: 0.000000 Maximum: 1.000000 Default: 1.000000 | |
| Sample with Replacement | Boolean | RF_REPLACE | Sample from training population with or without replacement? | Default: 1 | |
| Minimum Node Split Size | Integer | RF_SPLIT_MIN_SIZE | Number of examples required for a node to be split. Choose 1 for complete growing. | Minimum: 1 Default: 1 | |
| Features per Node | Choice | RF_NODE_FEATURES | - | Available Choices: [0] logarithmic [1] square root [2] all Default: 1 | |
| Stratification | Choice | RF_STRATIFICATION | Specifies stratification strategy. Either none, equal amount of class samples, or proportional to fraction of class samples. | Available Choices: [0] none [1] equal [2] proportional Default: 0 | |
| (*) optional | |||||
Command-line
Usage: saga_cmd imagery_vigra 10 [-FEATURES <str>] [-PREDICTION <str>] [-PROBABILITY <str>] [-PRESENCE <str>] [-BACKGROUND <double>] [-DO_MRMR <str>] [-mRMR_NFEATURES <num>] [-mRMR_DISCRETIZE <str>] [-mRMR_THRESHOLD <double>] [-mRMR_METHOD <str>] [-RF_IMPORT <str>] [-RF_EXPORT <str>] [-RF_TREE_COUNT <num>] [-RF_TREE_SAMPLES <double>] [-RF_REPLACE <str>] [-RF_SPLIT_MIN_SIZE <num>] [-RF_NODE_FEATURES <str>] [-RF_STRATIFICATION <str>] -FEATURES:<str> Features Grid list (input) -PREDICTION:<str> Presence Prediction Grid (output) -PROBABILITY:<str> Presence Probability Grid (optional output) -PRESENCE:<str> Presence Data Shapes (input) -BACKGROUND:<double> Background Sample Density [Percent] Floating point Minimum: 0.000000 Maximum: 100.000000 Default: 1.000000 -DO_MRMR:<str> Minimum Redundancy Feature Selection Boolean Default: 0 -mRMR_NFEATURES:<num> Number of Features Integer Minimum: 1 Default: 50 -mRMR_DISCRETIZE:<str> Discretization Boolean Default: 1 -mRMR_THRESHOLD:<double> Discretization Threshold Floating point Minimum: 0.000000 Default: 1.000000 -mRMR_METHOD:<str> Selection Method Choice Available Choices: [0] Mutual Information Difference (MID) [1] Mutual Information Quotient (MIQ) Default: 0 -RF_IMPORT:<str> Load Model File path -RF_EXPORT:<str> Save Model File path -RF_TREE_COUNT:<num> Tree Count Integer Minimum: 1 Default: 32 -RF_TREE_SAMPLES:<double> Samples per Tree Floating point Minimum: 0.000000 Maximum: 1.000000 Default: 1.000000 -RF_REPLACE:<str> Sample with Replacement Boolean Default: 1 -RF_SPLIT_MIN_SIZE:<num> Minimum Node Split Size Integer Minimum: 1 Default: 1 -RF_NODE_FEATURES:<str> Features per Node Choice Available Choices: [0] logarithmic [1] square root [2] all Default: 1 -RF_STRATIFICATION:<str> Stratification Choice Available Choices: [0] none [1] equal [2] proportional Default: 0