Distributed Training Machine Learning

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deeplearnyogi
deeplearnyogi Registered Posts: 9 ✭✭✭✭

Hi,

What I enjoy about Dataiku is the visual machine learning.

I have a 21 GB Dataset to train and I'd like to try it on Dataiku with XGBOOST however it will take a while.

I have a couple machines that connect in a SSH cluster.

Is there anyway I can create a Dask SSH cluster in Dataiku so I can use the visual machine learning to train the data?

In my jupyter notebook, I create the SSH dask cluster as follows:

from dask.distributed import Client, SSHClustercluster = SSHCluster(["localhost", "192.168.1.119", "192.168.1.191"],connect_options={"known_hosts": None,"username": "vinhdiesal"},worker_options={"nthreads": 20, "local_directory":"/tmp/"},scheduler_options={"port": 0, "dashboard_address": ":8797"},worker_module= 'dask_cuda.dask_cuda_worker')client = Client(cluster)client

Thanks,

Vinh

Answers

  • Andrey
    Andrey Dataiker Alumni Posts: 119 ✭✭✭✭✭✭✭
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    Hi,

    Thanks for the positive feedback about visual ML in DSS. However, I have to admit, that Dask isn't integrated into it in any way. The only way you could proceed in DSS is by using Notebooks and implementing the Dask interaction yourself.

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