OTB.VectorRegression: Performs regression on the input vector data according to a model file.

This application performs a vector data regression based on a model file produced by the TrainVectorRegression application.Features of the vector data output will contain the values predicted by the classifier. There are two modes: 1) Update mode: add of the 'cfield' field containing the predicted value in the input file. 2) Write mode: copies the existing fields of the input file to the output file and add the 'cfield' field containing the predicted value. If you have declared the output file, the write mode applies. Otherwise, the input file update mode will be applied.

Inputs

The input vector data file to classify.

format
href
Please set a value for in.

A XML file containing mean and standard deviation to centerand reduce samples before classification, produced by ComputeImagesStatistics application.

format
href
Please set a value for instat.

Model file produced by TrainVectorRegression application.

format
href
Please set a value for model.

Field containing the predicted value.Only geometries with this field available will be taken into account.The field is added either in the input file (if 'out' off) or in the output file.Caution, the 'cfield' must not exist in the input file if you are updating the file.

string
Please set a value for cfield.

Outputs

Output vector data file storing sample values (OGR format).If not given, the input vector data file is updated.

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": "OTB.VectorRegression", "title": "Performs regression on the input vector data according to a model file.", "description": "This application performs a vector data regression based on a model file produced by the TrainVectorRegression application.Features of the vector data output will contain the values predicted by the classifier. There are two modes: 1) Update mode: add of the 'cfield' field containing the predicted value in the input file. 2) Write mode: copies the existing fields of the input file to the output file and add the 'cfield' field containing the predicted value. If you have declared the output file, the write mode applies. Otherwise, the input file update mode will be applied.", "version": "1.0.0", "jobControlOptions": ["sync-execute", "async-execute", "dismiss"], "outputTransmission": ["value", "reference"], "links": [{"rel": "execute", "type": "application/json", "title": "Execute End Point", "href": "http://tb17.geolabs.fr:8090/ogc-api/processes/OTB.VectorRegression/execution"}, {"rel": "alternate", "type": "text/html", "title": "Execute End Point", "href": "http://tb17.geolabs.fr:8090/ogc-api/processes/OTB.VectorRegression/execution.html"}], "inputs": {"in": {"title": "The input vector data file to classify.", "description": "The input vector data file to classify.", "maxOccurs": 1, "extentded-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/xml", "application/vnd.google-earth.kml+xml", "application/json", "application/zip"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "utf-8", "contentMediaType": "application/vnd.google-earth.kml+xml"}, {"type": "object"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/zip"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "utf-8", "contentMediaType": "application/vnd.google-earth.kml+xml"}, {"type": "object"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/zip"}]}, "id": "in"}, "instat": {"title": "A XML file containing mean and standard deviation to centerand reduce samples before classification, produced by ComputeImagesStatistics application.", "description": "A XML file containing mean and standard deviation to centerand reduce samples before classification, produced by ComputeImagesStatistics application.", "maxOccurs": 1, "extentded-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/xml"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}]}}}], "nullable": true}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}]}, "id": "instat"}, "model": {"title": "Model file produced by TrainVectorRegression application.", "description": "Model file produced by TrainVectorRegression application.", "maxOccurs": 1, "extentded-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["image/tiff", "image/jpeg", "image/png"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/jpeg"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/jpeg"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}, "id": "model"}, "cfield": {"title": "Field containing the predicted value.Only geometries with this field available will be taken into account.The field is added either in the input file (if 'out' off) or in the output file.Caution, the 'cfield' must not exist in the input file if you are updating the file.", "description": "Field containing the predicted value.Only geometries with this field available will be taken into account.The field is added either in the input file (if 'out' off) or in the output file.Caution, the 'cfield' must not exist in the input file if you are updating the file.", "maxOccurs": 1, "schema": {"type": "string", "default": "Any value"}, "id": "cfield"}}, "outputs": {"out": {"title": "Output vector data file storing sample values (OGR format).If not given, the input vector data file is updated.", "description": "Output vector data file storing sample values (OGR format).If not given, the input vector data file is updated.", "extentded-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/xml", "application/vnd.google-earth.kml+xml", "application/json", "application/zip"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "utf-8", "contentMediaType": "application/vnd.google-earth.kml+xml"}, {"type": "object"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/zip"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "utf-8", "contentMediaType": "application/vnd.google-earth.kml+xml"}, {"type": "object"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/zip"}]}, "id": "out"}}}

http://tb17.geolabs.fr:8090/ogc-api/processes/OTB.VectorRegression.html
Last modified: Wed Jun 9 17:39:32 CEST 2021