Function bundle: Data AccessProfiles: Attribute RulesReturns the related records for a given feature based on the name of a given relationship class.ParametersinputFeature: Feature - The feature from which to f
Class MapServerRelationshipsClass MapServerRowClass MapServerRowsClass MosaicRuleClass PercentileParametersClass QueryResultClass QueryResultOptionsClass RasterFunctionInfoClass RasterFunctionInfosClass RasterTypeInfoClass RasterTypeInfosClass RelateDescriptionClass RelatedRecordGroupClass RelatedRecordGroupsClass Related...
publicclassOSFeature:System.Windows.Forms.FeatureSupport Examples The following example usesOSFeatureto query the operating system to determine if theLayeredWindowsfeature is installed. The example presents two different ways of checking to see whether the feature is present. In the first method,myVersi...
Featurecan also mean a special attraction or enticing quality that something has. Not allfeaturesare necessarily useful and, especially in advertising, they are often added to amaze rather than perform a useful function. Real-life examples: Smartphones often have manyfeatures, such as Bluetooth tech...
The extractFeatures function provides different extraction methods to best match the requirements of your application. When you do not specify the 'Method' input for the extractFeatures function, the function automatically selects the method based on the type of input point class. Binary descriptors ...
FunctionHTTP trigger Authorization levelAnonymous Note Azure App Configuration can be used with Azure Functions in either theisolated worker modelor thein-process model. This quickstart uses the isolated worker model as an example. You can find complete code examples for both models in theAzure App...
Audio Spectral Descriptors - Characterize the spectral shape of audio signals- Documentation extractFeatures: Extract Interest Point Descriptors- Function detectSURFFeatures: Detect SURF Features- Function MSERRegions: Maximally Stable Extremal Regions (MSER)- Documentation ...
wherefis a mapping function such as an ELM network,βare its parameters (output weights),dsis the size of the feature subset, and‖⋅‖0denotes theL0-norm. Each binary variableαiindicates whether theith feature is selected or not. ...
For a binary classification problem, the binary cross entropy/ log loss is used as the loss function. log loss is defined as Vovk (2015), (4)L=−(yilog(pi)+(1−yi)log(1−pi))where yi is the ground truth label of the current sample, pi is the probability of class label 1....
Examples: { "Functions": [{ "functionArgs": [{ "argName": "domain_name", "argValue": "example.com" }], "functionName": "set_req_host_header" }], "DomainNames": "example.com" } forward_scheme Feature description: configures the origin protocol policy. For more information, ...