// // This file is auto-generated. Please don't modify it! // package org.opencv.ml; // C++: class CvGBTreesParams /** * <p>GBT training parameters.</p> * * <p>The structure contains parameters for each single decision tree in the * ensemble, as well as the whole model characteristics. The structure is * derived from "CvDTreeParams" but not all of the decision tree parameters are * supported: cross-validation, pruning, and class priorities are not used.</p> * * @see <a href="http://docs.opencv.org/modules/ml/doc/gradient_boosted_trees.html#cvgbtreesparams">org.opencv.ml.CvGBTreesParams : public CvDTreeParams</a> */ public class CvGBTreesParams extends CvDTreeParams { protected CvGBTreesParams(long addr) { super(addr); } // // C++: CvGBTreesParams::CvGBTreesParams() // /** * <p>By default the following constructor is used: CvGBTreesParams(CvGBTrees.SQUARED_LOSS, * 200, 0.8f, 0.01f, 3, false) <code></p> * * <p>// C++ code:</p> * * <p>: CvDTreeParams(3, 10, 0, false, 10, 0, false, false, 0)</p> * * @see <a href="http://docs.opencv.org/modules/ml/doc/gradient_boosted_trees.html#cvgbtreesparams-cvgbtreesparams">org.opencv.ml.CvGBTreesParams.CvGBTreesParams</a> */ public CvGBTreesParams() { super( CvGBTreesParams_0() ); return; } // // C++: int CvGBTreesParams::weak_count // public int get_weak_count() { int retVal = get_weak_count_0(nativeObj); return retVal; } // // C++: void CvGBTreesParams::weak_count // public void set_weak_count(int weak_count) { set_weak_count_0(nativeObj, weak_count); return; } // // C++: int CvGBTreesParams::loss_function_type // public int get_loss_function_type() { int retVal = get_loss_function_type_0(nativeObj); return retVal; } // // C++: void CvGBTreesParams::loss_function_type // public void set_loss_function_type(int loss_function_type) { set_loss_function_type_0(nativeObj, loss_function_type); return; } // // C++: float CvGBTreesParams::subsample_portion // public float get_subsample_portion() { float retVal = get_subsample_portion_0(nativeObj); return retVal; } // // C++: void CvGBTreesParams::subsample_portion // public void set_subsample_portion(float subsample_portion) { set_subsample_portion_0(nativeObj, subsample_portion); return; } // // C++: float CvGBTreesParams::shrinkage // public float get_shrinkage() { float retVal = get_shrinkage_0(nativeObj); return retVal; } // // C++: void CvGBTreesParams::shrinkage // public void set_shrinkage(float shrinkage) { set_shrinkage_0(nativeObj, shrinkage); return; } @Override protected void finalize() throws Throwable { delete(nativeObj); } // C++: CvGBTreesParams::CvGBTreesParams() private static native long CvGBTreesParams_0(); // C++: int CvGBTreesParams::weak_count private static native int get_weak_count_0(long nativeObj); // C++: void CvGBTreesParams::weak_count private static native void set_weak_count_0(long nativeObj, int weak_count); // C++: int CvGBTreesParams::loss_function_type private static native int get_loss_function_type_0(long nativeObj); // C++: void CvGBTreesParams::loss_function_type private static native void set_loss_function_type_0(long nativeObj, int loss_function_type); // C++: float CvGBTreesParams::subsample_portion private static native float get_subsample_portion_0(long nativeObj); // C++: void CvGBTreesParams::subsample_portion private static native void set_subsample_portion_0(long nativeObj, float subsample_portion); // C++: float CvGBTreesParams::shrinkage private static native float get_shrinkage_0(long nativeObj); // C++: void CvGBTreesParams::shrinkage private static native void set_shrinkage_0(long nativeObj, float shrinkage); // native support for java finalize() private static native void delete(long nativeObj); }