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Submit arbitrary functions for computation in a parallelized, eager, and non-blocking way.
Dask Bag implements operations like map, filter, groupby and aggregations on collections of Python objects.
What if you don’t have an array or dataframe? Instead of having blocks where the function is applied to each block, you can decorate functions with @delayed and have the functions themselves be lazy.
Optimize an XGBoost classification model in parallel with Dask and Optuna.
Train an XGBoost model over 1.4 billions rows of an Uber/Lyft NYC Taxi dataset in a Coiled cluster.
What if you don’t have an array or dataframe? Instead of having blocks where the function is applied to each block, you can decorate functions with @delayed and have the functions themselves be lazy.
What if you don’t have an array or dataframe? Instead of having blocks where the function is applied to each block, you can decorate functions with @delayed and have the functions themselves be lazy.
What if you don’t have an array or dataframe? Instead of having blocks where the function is applied to each block, you can decorate functions with @delayed and have the functions themselves be lazy.
