Searched refs:tparams_node (Results 1 - 2 of 2) sorted by relevance

/external/opencv/ml/src/
H A Dmlann_mlp.cpp1407 CvFileNode* tparams_node; local
1426 tparams_node = cvGetFileNodeByName( fs, node, "training_params" );
1429 if( tparams_node )
1431 const char* tmethod_name = cvReadStringByName( fs, tparams_node, "train_method", "" );
1437 params.bp_dw_scale = cvReadRealByName( fs, tparams_node, "dw_scale", 0 );
1438 params.bp_moment_scale = cvReadRealByName( fs, tparams_node, "moment_scale", 0 );
1443 params.rp_dw0 = cvReadRealByName( fs, tparams_node, "dw0", 0 );
1444 params.rp_dw_plus = cvReadRealByName( fs, tparams_node, "dw_plus", 0 );
1445 params.rp_dw_minus = cvReadRealByName( fs, tparams_node, "dw_minus", 0 );
1446 params.rp_dw_min = cvReadRealByName( fs, tparams_node, "dw_mi
[all...]
H A Dmltree.cpp1070 CvFileNode *tparams_node, *vartype_node; local
1080 tparams_node = cvGetFileNodeByName( fs, node, "training_params" );
1082 if( tparams_node ) // training parameters are not necessary
1084 params.use_surrogates = cvReadIntByName( fs, tparams_node, "use_surrogates", 1 ) != 0;
1088 params.max_categories = cvReadIntByName( fs, tparams_node, "max_categories" );
1093 (float)cvReadRealByName( fs, tparams_node, "regression_accuracy" );
1096 params.max_depth = cvReadIntByName( fs, tparams_node, "max_depth" );
1097 params.min_sample_count = cvReadIntByName( fs, tparams_node, "min_sample_count" );
1098 params.cv_folds = cvReadIntByName( fs, tparams_node, "cross_validation_folds" );
1102 params.use_1se_rule = cvReadIntByName( fs, tparams_node, "use_1se_rul
[all...]

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