Machine Learning, Dask, Python, Data Science, Linear Models.
ProgressBar(): ❷ >>> feature_arrays = model_data.pluck('features').map(lambda x: dask_array.from_array(x, 1000).reshape(1,-1)).reduction(perpartition=stacker, aggregate=stacker) >>> feature_array = feature_arrays.compute() >>> feature_array # Produces the following output: # dask.array<concatenate,