Umap, Machine Learning, AI, Dimensionality Reduction.
local data structures, making it suitable for various data types. It’s also highly efficient, especially when using RAPIDS. Here’s an example: from cuml import UMAP from sklearn.datasets import load_iris import matplotlib.pyplot as plt # get data data = load_iris()["data"] target =