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interimage:operators_documentation [2010/06/29 09:46]
castejon
interimage:operators_documentation [2010/09/06 16:23]
tkorting
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 **Multi-Class support** **Multi-Class support**
  
-Yes. If you select //true// in the "Top Down Multi-Class"​ option, you must create another node in the same level with a corresponding opposite name, with prefix "​n-"​. For example, if this class name is "​MyClass"​ the opposite class name will be "​n-MyClass"​. Hypothesis discarded by this operator will be classified as "​n-MyClass"​. ​+Yes. If you select //true// in the "Top Down Multi-Class"​ option, you must create another node in the same level with a corresponding opposite name, with prefix "​n-"​. For example, if this class name is "​MyClass"​ the opposite class name will be "​n-MyClass"​. Hypothesis discarded by this operator will be classified as "​n-MyClass"​. Alternatively,​ you can define a new node name in the input parameter named **Non Class Name**.
  
 [[interimage:​example_supervised_c45|Example of using Multi-Class support.]] [[interimage:​example_supervised_c45|Example of using Multi-Class support.]]
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 | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. | | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. |
 | Node Weight ​    | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays). ​ | [0.0, 1.0] |  | | Node Weight ​    | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays). ​ | [0.0, 1.0] |  |
 +| Non Class Name  | String | If Multi-Class support is active, the discarded hypothesis will fall in the node named by this parameter. | One string with the name of some node in the tree, in the same level. | |
  
 ===== TerraAIDA Baatz Segmenter ===== ===== TerraAIDA Baatz Segmenter =====
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 **Multi-Class support** **Multi-Class support**
  
-Yes. If you select //true// in the "Top Down Multi-Class"​ option, you must create another node in the same level with a corresponding opposite name, with prefix "​n-"​. For example, if this class name is "​MyClass"​ the opposite class name will be "​n-MyClass"​. Hypothesis discarded by this operator will be classified as "​n-MyClass"​. ​+Yes. If you select //true// in the "Top Down Multi-Class"​ option, you must create another node in the same level with a corresponding opposite name, with prefix "​n-"​. For example, if this class name is "​MyClass"​ the opposite class name will be "​n-MyClass"​. Hypothesis discarded by this operator will be classified as "​n-MyClass"​. Alternatively,​ you can define a new node name in the input parameter named **Non Class Name**.
  
 [[interimage:​example_supervised_c45|Example of using Multi-Class support.]] [[interimage:​example_supervised_c45|Example of using Multi-Class support.]]
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 | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. | | Decision Rule | Decision Rule | Decision rule applied to the generated hypothesis. | | Leave blank to accept all generated hypothesis. |
 | Node Weight | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays). | [0.0, 1.0] |  | | Node Weight | Floating point | This node weight (higher priority will be given to nodes with higher weights in cases where there are geographic overlays). | [0.0, 1.0] |  |
 +| Non Class Name  | String | If Multi-Class support is active, the discarded hypothesis will fall in the node named by this parameter. | One string with the name of some node in the tree, in the same level. | |
  
 ===== TerraAIDA Region Growing Segmenter ===== ===== TerraAIDA Region Growing Segmenter =====
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 [[interimage:​example_supervised_c45|Example of using Multi-Class support.]] [[interimage:​example_supervised_c45|Example of using Multi-Class support.]]
 +
 +**Processing sequence**
 +
 +  -Read user input shape file.
 +  -Generates the intersection between the loaded shape file polygons and the operator execution area.
 +  -Using the intersection result generates a set of intermediate hypothesis of "​MyClass"​ and the opposite class "​n-MyClass",​ as describe above.
 +  -Apply the user decision rule (using the supplied training set) over the intermediate hypothesis set.
 +  -Generate the output hypothesis from the decision rule result.
  
 **Input parameters** **Input parameters**

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