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OpenCV 2.4.2 | |||||||
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java.lang.Object org.opencv.ml.CvDTreeParams org.opencv.ml.CvBoostParams
public class CvBoostParams
Boosting training parameters.
There is one structure member that you can set directly:
The structure is derived from "CvDTreeParams" but not all of the decision tree parameters are supported. In particular, cross-validation is not supported.
All parameters are public. You can initialize them by a constructor and then override some of them directly if you want.
Field Summary |
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Fields inherited from class org.opencv.ml.CvDTreeParams |
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nativeObj |
Constructor Summary | |
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CvBoostParams()
The constructors. |
protected |
CvBoostParams(long addr)
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Method Summary | |
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protected void |
finalize()
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int |
get_boost_type()
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int |
get_split_criteria()
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int |
get_weak_count()
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double |
get_weight_trim_rate()
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void |
set_boost_type(int boost_type)
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void |
set_split_criteria(int split_criteria)
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void |
set_weak_count(int weak_count)
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void |
set_weight_trim_rate(double weight_trim_rate)
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Methods inherited from class java.lang.Object |
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clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public CvBoostParams()
The constructors.
See "CvDTreeParams.CvDTreeParams" for description of other parameters.
Default parameters are:
protected CvBoostParams(long addr)
Method Detail |
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protected void finalize() throws java.lang.Throwable
finalize
in class CvDTreeParams
java.lang.Throwable
public int get_boost_type()
public int get_split_criteria()
public int get_weak_count()
public double get_weight_trim_rate()
public void set_boost_type(int boost_type)
public void set_split_criteria(int split_criteria)
public void set_weak_count(int weak_count)
public void set_weight_trim_rate(double weight_trim_rate)
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Official OpenCV 2.4 Documentation | |||||||
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