This task opens a machine learning model from a file.
Example
e = ENVI(/HEADLESS)
File1 = FilePath('qb_boulder_msi', ROOT_DIR=e.ROOT_DIR, $
SUBDIR=['data'])
Raster = e.OpenRaster(File1)
File2 = FilePath('qb_boulder_roi.xml', ROOT_DIR=e.ROOT_DIR, $
SUBDIR=['data'])
ROI = e.OpenROI(File2)
Task1 = ENVITask('NormalizationStatistics')
Task1.INPUT_RASTERS = Raster
Task1.REMOVE_OUTLIERS = 0
Task1.Execute
Task2 = ENVITask('MLTrainingDataFromROIs')
Task2.INPUT_RASTER = Raster
Task2.INPUT_ROI = ROI
Task2.BACKGROUND_LABELS = ['Disturbed Earth', 'Water']
Task2.NORMALIZE_MIN_MAX = Task1.Normalization
Task2.Execute
Task3 = ENVITask('TrainRandomForest')
Task3.INPUT_RASTER = Task2.OUTPUT_RASTER
Task3.Execute
Task4 = ENVITask('ExtractMachineLearningModelFromFile')
Task4.INPUT_URI = Task3.OUTPUT_MODEL_URI
Task4.Execute
outputModel = Task4.OUTPUT_MODEL
print, outputModel.Attributes, /IMPLIED_PRINT
Syntax
Result = ENVITask('ExtractMachineLearningModelFromFile')
Input parameters (Set, Get): INPUT_URI
Output parameters (Get only): OUTPUT_MODEL
Parameters marked as "Set" are those that you can set to specific values. You can also retrieve their current values any time. Parameters marked as "Get" are those whose values you can retrieve but not set.
Input Parameters
INPUT_URI (required)
Specify the machine learning model file to be used.
Output Parameters
OUTPUT_MODEL
This is the machine learning model extracted from the file.
Methods
Execute
Parameter
ParameterNames
See ENVI Help for details on these ENVITask methods.
Properties
DESCRIPTION
DISPLAY_NAME
NAME
REVISION
See the ENVITask topic in ENVI Help for details.
Version History
Machine Learning 3.0.1
|
Introduced |
See Also
ENVIMachineLearningModel