This section contains reference information for application programming interface (API) routines and tasks associated with ENVI Machine Learning.

Routines

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The following routines are available for use in writing custom tasks and workflows in an ENVI+IDL desktop environment. You cannot use routines in an enterprise environment such as the Geospatial Services Framework (GSF). In that case, use the Tasks listed below, or write a custom task that calls one or more of these routines.

• ENVIMachineLearningModel

Tasks

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The following ENVITasks are available in Machine Learning:

• MachineLearningClassification
• MLTrainingDataFromROIs
• MLTrainingDataFromSpectralLibrary
• NormalizationStatistics
• TrainBirch
• TrainExtraTrees
• TrainIsolationForest
• TrainKNeighbors
• TrainLinearSVM
• TrainLocalOutlierFactor
• TrainMiniBatchKMeans
• TrainNaiveBayes
• TrainRandomForest
• TrainRBFSVM