8000 Spectral Embedding by aamijar · Pull Request #6581 · rapidsai/cuml · GitHub
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Spectral Embedding #6581

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Spectral Embedding #6581

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@aamijar aamijar commented Apr 24, 2025 •
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Resolves #6912

Usage

from sklearn import datasets
from cuml.manifold import SpectralEmbedding
import cupy as cp

# (1500, 3) -> (1500, 2)
n_samples = 1500
S_points, S_color = datasets.make_s_curve(n_samples, random_state=0)

spectral = SpectralEmbedding(n_components=2, n_neighbors=None, random_state=42)
embedding = spectral.fit_transform(cp.asarray(S_points, order='C', dtype=cp.float32))


from sklearn.datasets import fetch_openml

# (70000, 784) -> (70000, 2)
mnist = fetch_openml('mnist_784', version=1)
X, y = mnist.data, mnist.target.astype(int)

spectral = SpectralEmbedding(n_components=2, n_neighbors=None, random_state=42)
embedding = spectral.fit_transform(cp.asarray(X, order='C', dtype=cp.float32))

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@github-actions github-actions bot added Cython / Python Cython or Python issue CMake CUDA/C++ labels Apr 24, 2025
@aamijar aamijar added non-breaking Non-breaking change feature request New feature or request labels Apr 24, 2025
@aamijar aamijar self-assigned this Apr 24, 2025
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@aamijar aamijar force-pushed the spectral-embedding branch from 073a7a5 to 09b724c Compare May 5, 2025 23:57
@aamijar aamijar changed the base branch from branch-25.06 to branch-25.08 June 16, 2025 17:15
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[FEA] Spectral Embedding Python API
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