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kpca_samples_16d
jruffle/kpca_samples_16d
kpca_samples_16d is a machine learning model from jruffle. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Pre-trained kpca model for transcriptomic data compression.
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Public
Updated Jan 10, 2026
Repo size
171 MB
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.joblib171 MB · 100%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 10, 2026
- Updated
- Jan 10, 2026
- SHA
- abc3e82a
Model card
From the Hugging Face model README
KPCA Model - samples mode - 16D
Pre-trained kpca model for transcriptomic data compression.
Details
- Mode: samples-centric compression
- Dimensions: 16
- Training data: TRACERx lung cancer transcriptomics
- Created: 2026-01-10T13:21:12.262226
Usage
import joblib
from huggingface_hub import snapshot_download
# Download model
local_dir = snapshot_download("jruffle/kpca_samples_16d")
model = joblib.load(f"{local_dir}/model.joblib")
# For classical models (PCA/UMAP):
# model contains: 'pca', 'umap', 'robust_scaler', 'gene_order'
# For TabPFN models (with UMAP reduction):
# model contains: 'tabpfn_embedding', 'umap_final', 'raw_embeddings', 'input_scaler', etc.
# Uses UMAP instead of PCA for non-linear dimension reduction of TabPFN embeddings
- License
- mit
- Created
- Jan 10, 2026
- Updated
- Jan 10, 2026