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16 lines
875 B
Plaintext
16 lines
875 B
Plaintext
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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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ParameterNumber|MAX_DEPTH|Maximum Tree Depth| 1|None| 10
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ParameterNumber|MIN_SAMPLES|Minimum Sample Count| 2|None| 2
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ParameterNumber|MAX_CATEGRS|Maximum Categories| 1|None| 10
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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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ParameterNumber|REG_ACCURACY|Regression Accuracy| 0.000000|None| 0.010000
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ParameterNumber|WEAK_COUNT|Weak Count| 0|None| 100
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ParameterNumber|WGT_TRIM_RATE|Weight Trim Rate| 0.000000| 1.000000| 0.950000
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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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