How To Do Model Predict Using Distributed Dask With a Pre-Trained Keras Model?
问题 I am loading my pre-trained keras model and then trying to parallelize a large number of input data using dask? Unfortunately, I'm running into some issues with this relating to how I'm creating my dask array. Any guidance would be greatly appreciated! Setup: First I cloned from this repo https://github.com/sanchit2843/dlworkshop.git Reproducible Code Example: import numpy as np import pandas as pd from sklearn.preprocessing import StandardScaler, OneHotEncoder from sklearn.pipeline import