Open JavierYepez opened 2 years ago
Should be doable, as long as nothing in the .fit method is blocking on the main thread.
On Dec 24, 2021, at 10:03 AM, Javier Yepez @.***> wrote:
Hi,
I'd like to ask if It's possible to add a version of KMeans that works with an async client.
Here is an example that should work:
import distributed import dask_ml import dask_ml.datasets import dask_ml.cluster
client = distributed.Client(asynchronous=True) await client
X, y = dask_ml.datasets.make_blobs(n_samples=10000000, chunks=1000000, random_state=0, centers=3) km = dask_ml.cluster.KMeans(n_clusters=3, init_max_iter=2, oversampling_factor=10) km.fit(X) Thank you
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Hi! any plans on implementing this feature?
I don’t plan to work on it. A PR would be welcome, but we’ll need to find some help reviewing it: I’m not really sure what the best way to mix sync and async code with an async client.
On Mar 11, 2022 at 2:07:51 AM, Inés Ortega-Fernández < @.***> wrote:
Hi! any plans on implementing this feature?
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Hi,
I'd like to ask if It's possible to add a version of KMeans that works with an async client.
Here is an example that should work:
Thank you