rapids'cuml on google colab

steps_cuml.txt

BEFORE INSTALLING THE CUML, PLEASE MAKE SURE YOU HAVE FOLLOWED THE ABOVE STEPS FOR CUDF. CUDF SHOULD BE WORKING...

Step 1: Install the cuml and its depandencies.
  
  !apt install libopenblas-base libomp-dev
  !pip install cuml-cuda100
  
  # import cuml at this point, will give libcuml.so not found error. #

NOTE: Step2 is optional and is just for information, you can fast forward to Step3 directly to work quickely.   

Step 2: find the location of libcuml.so 

  !find / -name libcuml.so*
  # You should get something like this: /usr/local/lib/python3.6/dist-packages/libcuml.so #
  
**IMPORTANT**: At this point, if you are using terminal, then you update the $LD_LIBRARY_PATH environment variable
with the location of libcuml.so, and it will work.
checkout out my git comment regarding this: https://github.com/rapidsai/cuml/issues/404#issuecomment-487054041
But, jupyter notebook load this $LDLIBRARY_PATH at the start time only, so even if you update the LD_LIBRARY_PATH in notebook 
cell, it will not be loaded by notebook.

Step 3: In order to solve this issue in colab, run the below command.

  !cp /usr/local/lib/python3.6/dist-packages/libcuml.so /usr/lib64-nvidia/
  
  
Now, you can use import cuml and run you code.

Hi @tonewhoo @TaherLkdw, I am afraid these instructions are obsolete now.

Please refer these new instructions mentioned in official page of rapids.ai colab