4 Components & Libraries
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Now let's run the model on the dataset in a streaming fashion. We sequentially interleave predictions and model updates. Meanwhile, we update a performance metric to see how well the model is doing. …
We feel that both projects share the same vision. We believe that pooling our resources instead of duplicating work will benefit both sides. We are also confident that this will benefit both communit…
You can run this with: And, yes, there's a built-in crash handling mode B) We're hoping to add a respawn-from-repl system soon! Yes, you saw it here first; we provide 2-way streams with reliable, tra…
As a quick example, let's illustrate the use of CinnaMon on the breast cancer data where we voluntarily introduce some data drift. We can see on this graph that because of the data drift we introduce…
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