Criteo dataset example

Criteo.ipynb

Is dask distributed is free

Yes. Free as in beer (i.e, doesn't cost money) and free as in speech (the source is freely available).

And will read data from lobsvm format?

Yes. Dask-ML is a wrapper around scikit-learn, and they have a function for read in libsvm: https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html. It'd be pretty simple to wrap that function with Dask:

from sklearn.datasets import load_svmlight_file

def read_chunk(filename):
    X, y = load_svmlight_file(filename)
    return X, y  # scipy.sparse matrix, raw ndarray

from distributed import Client
client = Client()

filenames = ["criteo-day-1.svmlight", ...]
Xs_ys = client.map(read_chunk, filenames)
# Xs_ys will be tasked to the cluster, and will perform work in the background

# continue with rest of notebook

This code is untested.

Great code thanks
So dusk can help in both cases to read original RTB Criteo file or libsvm format
Only short question:
In your code above - load_svmlight_file meanse to read any svmlib format or specific svmlight format
Again thank a lot taking care