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Got ray.serialization.DeserializationError when trying to run KernelShap in distributed mode
Hello,
I read your documentation and blog post and was interested in running KernelShap in distributed mode.
I've installed ray and alibi[ray] as in the documentation. Other packages were already installed.
Running the following code on a binary dataset (1s and 0s as feature values) raised a serialization issue:
opts = {'n_cpus': 19}
start = time.time()
distrib_explainer = KernelShap(self.func_predict, distributed_opts=opts)
distrib_explainer.fit(background_set)
distib_shap_values = distrib_explainer.explain(record_to_explain, nsamples='auto')
print(str(time.time() - start))
This is the error:
raise DeserializationError()
ray.serialization.DeserializationError
Do you know what is the problem and how it can be resolved? Thanks.
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