2017-06-23 13:36:45 +02:00
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Boosting Classification (OpenCV)
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imagery_opencv
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ParameterMultipleInput|FEATURES|Features|3|False
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ParameterBoolean|NORMALIZE|Normalize|False
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ParameterVector|TRAIN_AREAS|Training Areas|-1|False
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ParameterTable|TRAIN_CLASS|Class Identifier|False
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OutputRaster|CLASSES|Classification
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2017-08-15 04:34:43 +10:00
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QgsProcessingParameterNumber|MAX_DEPTH|Maximum Tree Depth|QgsProcessingParameterNumber.Integer|10|False| 1|None
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QgsProcessingParameterNumber|MIN_SAMPLES|Minimum Sample Count|QgsProcessingParameterNumber.Integer|2|False| 2|None
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QgsProcessingParameterNumber|MAX_CATEGRS|Maximum Categories|QgsProcessingParameterNumber.Integer|10|False| 1|None
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2017-06-23 13:36:45 +02:00
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ParameterBoolean|1SE_RULE|Use 1SE Rule|True
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ParameterBoolean|TRUNC_PRUNED|Truncate Pruned Trees|True
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2017-08-15 04:34:43 +10:00
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QgsProcessingParameterNumber|REG_ACCURACY|Regression Accuracy|QgsProcessingParameterNumber.Double|0.010000|False| 0.000000|None
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QgsProcessingParameterNumber|WEAK_COUNT|Weak Count|QgsProcessingParameterNumber.Integer|100|False| 0|None
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QgsProcessingParameterNumber|WGT_TRIM_RATE|Weight Trim Rate|QgsProcessingParameterNumber.Double|0.950000|False| 0.000000| 1.000000
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2017-06-23 13:36:45 +02:00
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ParameterSelection|BOOST_TYPE|Boost Type|[0] Discrete AdaBoost;[1] Real AdaBoost;[2] LogitBoost;[3] Gentle AdaBoost| 1
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