OTB.TrainDimensionalityReduction: Train a dimensionality reduction model

{"id": "OTB.TrainDimensionalityReduction", "title": "Train a dimensionality reduction model", "description": "Trainer for dimensionality reduction algorithms (autoencoders, PCA, SOM). All input samples are used to compute the model, like other machine learning models.The model can be used in the ImageDimensionalityReduction and VectorDimensionalityReduction applications.", "mutable": false, "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": "https://host1.tb.geonovum.geolabs.fr/ogc-api/processes/OTB.TrainDimensionalityReduction/execution"}], "inputs": {"io": {"title": "Input geometries used for training (note: all geometries from the layer will be used)", "description": "Input geometries used for training (note: all geometries from the layer will be used)", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/xml", "application/vnd.google-earth.kml+xml", "application/json", "application/zip"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "utf-8", "contentMediaType": "application/vnd.google-earth.kml+xml"}, {"type": "object"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/zip"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "utf-8", "contentMediaType": "application/vnd.google-earth.kml+xml"}, {"type": "object"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/zip"}]}, "raw_schema1": "true", "id": "io"}, "io.stats": {"title": "XML file containing mean and variance of each feature.", "description": "XML file containing mean and variance of each feature.", "minOccurs": 0, "extended-schema": {"oneOf": [{"allOf": [{"$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"}]}, "raw_schema1": "true", "id": "io.stats"}, "feat": {"title": "List of field names in the input vector data used as features for training.", "description": "List of field names in the input vector data used as features for training.", "maxOccurs": 1024, "schema": {"type": "string"}, "id": "feat"}, "algorithm": {"title": "Sizes of the SOM map (one per dimension). For instance, [12;15] means a 2D map of size 12x15. Support2D to 5D maps.", "description": "Sizes of the SOM map (one per dimension). For instance, [12;15] means a 2D map of size 12x15. Support2D to 5D maps.", "minOccurs": 0, "maxOccurs": 1024, "schema": {"type": "string", "default": "10 10", "nullable": true}, "id": "algorithm"}, "algorithm.som.n": {"title": "Sizes of the initial neighborhood in the SOM map (one per dimension). The number of sizes should be the same as the map sizes", "description": "Sizes of the initial neighborhood in the SOM map (one per dimension). The number of sizes should be the same as the map sizes", "minOccurs": 0, "maxOccurs": 1024, "schema": {"type": "string", "default": "3 3", "nullable": true}, "id": "algorithm.som.n"}, "algorithm.som.ni": {"title": "Number of iterations for SOM learning", "description": "Number of iterations for SOM learning", "minOccurs": 0, "schema": {"type": "integer", "default": 5, "nullable": true}, "id": "algorithm.som.ni"}, "algorithm.som.bi": {"title": "Initial learning coefficient", "description": "Initial learning coefficient", "minOccurs": 0, "schema": {"type": "number", "default": 1, "format": "float", "nullable": true}, "id": "algorithm.som.bi"}, "algorithm.som.bf": {"title": "Final learning coefficient", "description": "Final learning coefficient", "minOccurs": 0, "schema": {"type": "number", "default": 0.1, "format": "float", "nullable": true}, "id": "algorithm.som.bf"}, "algorithm.som.iv": {"title": "Maximum initial neuron weight", "description": "Maximum initial neuron weight", "minOccurs": 0, "schema": {"type": "number", "default": 10, "format": "float", "nullable": true}, "id": "algorithm.som.iv"}, "ram": {"title": "Available memory for processing (in MB).", "description": "Available memory for processing (in MB).", "minOccurs": 0, "schema": {"type": "integer", "default": 256, "nullable": true}, "id": "ram"}}, "outputs": {"io.out": {"title": "Output file containing the estimated model (.txt format).", "description": "Output file containing the estimated model (.txt format).", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/xml", "text/plain"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/xml"}, {"type": "string", "contentEncoding": "utf-8", "contentMediaType": "text/plain"}]}, "raw_schema1": "true", "id": "io.out"}}}