I meet a bug about installing

[learningelectric]

Describe the bug
I meet a bug about installing

pip install rerf

To Reproduce

In file included from src/src/baseFunctions/../forestTypes/unsupervisedForests/urf/fpURFBase.h:13,
from src/src/baseFunctions/fpForestFactory.h:8,
from src/src/packedForest.h:23,
from src/packedForest.cpp:1:
src/src/baseFunctions/../forestTypes/unsupervisedForests/urf/urfTree.h:9:10: 致命错误：eigen3/Eigen/Dense：没有那个文件或目录
#include <eigen3/Eigen/Dense>
^~~~~~~~~~~~~~~~~~~~
编译中断。
error: command 'gcc' failed with exit status 1

Expected behavior
pip install rerf

Desktop (please complete the following information):

• OS: centOS 7
• Language: Python
• Version 2.0.4

Please help!

[zhouqb]

I am having the same issue when running pip install rerf

    In file included from src/src/baseFunctions/../forestTypes/unsupervisedForests/urf/fpURFBase.h:13:0,
                     from src/src/baseFunctions/fpForestFactory.h:8,
                     from src/src/packedForest.h:23,
                     from src/packedForest.cpp:1:
    src/src/baseFunctions/../forestTypes/unsupervisedForests/urf/urfTree.h:9:30: fatal error: eigen3/Eigen/Dense: No such file or directory
     #include <eigen3/Eigen/Dense>
                                  ^
    compilation terminated.
    error: command 'gcc' failed with exit status 1

[ding00]

me too, please help!

[learningelectric]

Haha. I have given up on rerf, I choose deep forest !!!

[pepetikesavasiddhardha]

even i have the same issue while installing ,can u pls help how can i resolve this?

[pepetikesavasiddhardha]

even i have the same issue while installing ,can u pls help how can i resolve this?

Identified my mistake, Thanks @burhr2 for the idea initially we have to install a virtual environment in the google colab notebook then we have to use following commands for installing rerf library
!sudo apt-get install
! sudo apt-get install build-essential cmake python3-dev libomp-dev libeigen3-dev
! pip install rerf
Then these 3 commands will finish the task of installing rerf library which we use for oblique random forest implementation.
Then we can import it and use rerf classifier/regressor as per our need.
import rerf
from rerf.rerfClassifier import rerfClassifier

Important thing to note here is it is better to create a virtual environment in colab notebook before installing library as I faced some problems because of it and process will be smooth if u install virtual env and work in it. Also these lines of code will work in both windows/Linux, also I think it would work on macOS but not exactly sure