SAGA.imagery_opencv.9: Boosting Classification (OpenCV)

{"id": "SAGA.imagery_opencv.9", "title": "Boosting Classification (OpenCV)", "description": "Integration of the OpenCV Machine Learning library for Boosted Trees classification of gridded features.", "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:8111/ogc-api/processes/SAGA.imagery_opencv.9/execution"}, {"rel": "alternate", "type": "text/html", "title": "Execute End Point", "href": "http://tb17.geolabs.fr:8111/ogc-api/processes/SAGA.imagery_opencv.9/execution.html"}], "inputs": {"FEATURES": {"title": "Features", "description": "Features", "maxOccurs": 1024, "extended-schema": {"type": "array", "minItems": 1, "maxItems": 1024, "items": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": 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This will make a tree more compact and more resistant to the training data noise but a bit less accurate.", "schema": {"type": "boolean", "default": false, "nullable": true}, "id": "1SE_RULE"}, "TRUNC_PRUNED": {"title": "Truncate Pruned Trees", "description": "If true then pruned branches are physically removed from the tree. Otherwise they are retained and it is possible to get results from the original unpruned (or pruned less aggressively) tree.", "schema": {"type": "boolean", "default": false, "nullable": true}, "id": "TRUNC_PRUNED"}, "REG_ACCURACY": {"title": "Regression Accuracy", "description": "Termination criteria for regression trees. 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