SAGA.imagery_vigra.11: Random Forest Table Classification (ViGrA)

Random Forest Table Classification (ViGrA)

Inputs

Table with features, must include class-ID

format
href
Please set a value for TABLE.

Select features (table fields) for classification

format
href
Please set a value for FEATURES.

This is field that will have the prediction results. If not set it will be added to the table.

format
href
Please set a value for PREDICTION.

this is the table field that defines the training classes

format
href
Please set a value for TRAINING.

Use training area labels as identifier in classification result, assumes all label values are integer numbers!

boolean

Import from File

format
href
Please set a value for RF_IMPORT.

Export to File

format
href
Please set a value for RF_EXPORT.

How many trees to create?

integer

Specifies the fraction of the total number of samples used per tree for learning.

number

Sample from training population with or without replacement?

boolean

Number of examples required for a node to be split. Choose 1 for complete growing.

integer

Features per Node

string

Specifies stratification strategy. Either none, equal amount of class samples, or proportional to fraction of class samples.

string

Outputs

Feature Importances

format
transmission

Execution options

successUri
inProgressUri
failedUri

format

mode

Execute End Point

View the execution endpoint of a process.

View the alternative version in HTML.

{"id": "SAGA.imagery_vigra.11", "title": "Random Forest Table Classification (ViGrA)", "description": "Random Forest Table Classification (ViGrA)", "version": "1.0.0", "jobControlOptions": ["sync-execute", "async-execute", "dismiss"], "outputTransmission": ["value", "reference"], "links": [{"rel": "http://www.opengis.net/def/rel/ogc/1.0/execute", "type": "application/json", "title": "Execute End Point", "href": "http://tb17.geolabs.fr:8119/ogc-api/processes/SAGA.imagery_vigra.11/execution"}, {"rel": "alternate", "type": "text/html", "title": "Execute End Point", "href": "http://tb17.geolabs.fr:8119/ogc-api/processes/SAGA.imagery_vigra.11/execution.html"}], "inputs": {"TABLE": {"title": "Table", "description": "Table with features, must include class-ID", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/csv", "text/csv"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}, "id": "TABLE"}, "FEATURES": {"title": "Features", "description": "Select features (table fields) for classification", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/csv", "text/csv"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}, "id": "FEATURES"}, "PREDICTION": {"title": "Prediction", "description": "This is field that will have the prediction results. If not set it will be added to the table.", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/csv", "text/csv"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}, "id": "PREDICTION"}, "TRAINING": {"title": "Training", "description": "this is the table field that defines the training classes", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/csv", "text/csv"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}, "id": "TRAINING"}, "LABEL_AS_ID": {"title": "Use Label as Identifier", "description": "Use training area labels as identifier in classification result, assumes all label values are integer numbers!", "schema": {"type": "boolean", "default": false, "enum": ["true", "false"], "nullable": true}, "id": "LABEL_AS_ID"}, "RF_IMPORT": {"title": "Import from File", "description": "Import from File", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/plain"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}, "id": "RF_IMPORT"}, "RF_EXPORT": {"title": "Export to File", "description": "Export to File", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/plain"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}, "id": "RF_EXPORT"}, "RF_TREE_COUNT": {"title": "Tree Count", "description": "How many trees to create?", "schema": {"type": "integer", "default": 32, "nullable": true}, "id": "RF_TREE_COUNT"}, "RF_TREE_SAMPLES": {"title": "Samples per Tree", "description": "Specifies the fraction of the total number of samples used per tree for learning.", "schema": {"type": "number", "default": 1, "format": "double", "minimum": 0, "maximum": 1, "nullable": true}, "id": "RF_TREE_SAMPLES"}, "RF_REPLACE": {"title": "Sample with Replacement", "description": "Sample from training population with or without replacement?", "schema": {"type": "boolean", "default": false, "enum": ["true", "false"], "nullable": true}, "id": "RF_REPLACE"}, "RF_SPLIT_MIN_SIZE": {"title": "Minimum Node Split Size", "description": "Number of examples required for a node to be split. Choose 1 for complete growing.", "schema": {"type": "integer", "default": 1, "nullable": true}, "id": "RF_SPLIT_MIN_SIZE"}, "RF_NODE_FEATURES": {"title": "Features per Node", "description": "Features per Node", "schema": {"type": "string", "default": "square root", "enum": ["logarithmic", "square root", "all"], "nullable": true}, "id": "RF_NODE_FEATURES"}, "RF_STRATIFICATION": {"title": "Stratification", "description": "Specifies stratification strategy. Either none, equal amount of class samples, or proportional to fraction of class samples.", "schema": {"type": "string", "default": "none", "enum": ["none", "equal", "proportional"], "nullable": true}, "id": "RF_STRATIFICATION"}}, "outputs": {"IMPORTANCES": {"title": "Feature Importances", "description": "Feature Importances", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/csv", "text/csv"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/csv"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "text/csv"}]}, "id": "IMPORTANCES"}}}

http://tb17.geolabs.fr:8119/ogc-api/processes/SAGA.imagery_vigra.11.html
Last modified: Sat Feb 19 15:43:34 CET 2022