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View Code? Open in Web Editor NEWOnline Multi-Class LPBoost and Gradient Boosting
Home Page: http://www.ymer.org/amir/software/online-multiclass-lpboost/
License: MIT License
Online Multi-Class LPBoost and Gradient Boosting
Home Page: http://www.ymer.org/amir/software/online-multiclass-lpboost/
License: MIT License
it seems it always reports
from src/experimenter.cpp:17:
src/data.h:23:22: fatal error: Eigen/Core: No such file or directory
#include <Eigen/Core>
^
compilation terminated.
In file included from src/OMCBoost.cpp:20:0:
src/data.h:23:22: fatal error: Eigen/Core: No such file or directory
#include <Eigen/Core>
^
compilation terminated.
In file included from src/classifier.h:17:0,
from src/classifier.cpp:14:
src/data.h:23:22: fatal error: Eigen/Core: No such file or directory
#include <Eigen/Core>
^
compilation terminated.
even I success install egine2
I get this error when building the project using make
src/hyperparameters.cpp:15:25: fatal error: libconfig.h++: No such file or directory #include <libconfig.h++> ^ compilation terminated. make: *** [src/hyperparameters.o] Error 1
src/utilities.h: In function ‘double randDouble()’:
src/utilities.h:48:47: error: ‘getpid’ was not declared in this scope
srand(TV.tv_sec * TV.tv_usec + getpid() + getDevRandom());
^
Makefile:31: recipe for target 'src/online_rf.o' failed
make: *** [src/online_rf.o] Error 1
even I installed eigen2 and libconfig-1.5.
Hi,
In random forest, I find samples assigned by fathernode (depth=1) are not updated in childnode's (depth=2) test. Thus, those inherited samples stay at the childnode (depth=2) and are not passed to the child-childnode (depth=3) because they are not in the sample set of any test. I find this when I check the number of samples among all leaf node. The sum of sample numbers of all leaf nodes are not equals to the number of samples imported. I'd like to ask that whether I misunderstand your algorithm or it is a bug? Related codes are located at src/online_rf.cpp:75-85.
Thanks,
Yi
Hello,
I have been applied Online Gradient Boosting-based on Decision tree Regression on the MAGIC Datasets (From UCI Machine Learning Repository). AS mentioned in the OMCBoost, I have done training of the Data. But When I predict on the model It gives the labels, which is the last label in the training. For Example, the Last label of the training sample is 1. It returns 1 in all the test data. So, I think, I did something wrong during the test the model. Can you send the pseudo code of test the model of online Gradient Boosting?
Thank you so much for your time.
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