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mlp-heart-disease
xaitalk/mlp-heart-disease
mlp-heart-disease is a machine learning model from xaitalk. 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.
A small 4-layer MLP (13→64→32→16→2) trained once on the UCI Heart Disease (Cleveland) dataset, frozen and published so xaitalk's tabular adapter loads fixed, reproducible weights (via xaitalk.hub.ensuremodel) across P…
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Updated May 31, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- May 31, 2026
- Updated
- May 31, 2026
- SHA
- f55d5ba7
Model card
From the Hugging Face model README
MLP — UCI Heart Disease (Cleveland) — xaitalk tabular demo
A small 4-layer MLP (13→64→32→16→2) trained once on the UCI Heart Disease
(Cleveland) dataset, frozen and published so xaitalk's tabular adapter loads
fixed, reproducible weights (via xaitalk.hub.ensure_model) across
PyTorch / TensorFlow / JAX — rather than retraining on every load().
This makes the tabular domain deterministic (canonical + cross-device consistency) and, crucially, demonstrates XAI on real, interpretable clinical features (age, cholesterol, resting BP, ...) rather than synthetic data — there is no signal to attribute in random data.
- Weights: framework-agnostic numpy
.npz(JAX layout; PT transposes Dense). - Trainer: deterministic numpy Adam (seed 42), so the artifact is reproducible.
- Dataset: UCI Heart Disease (Cleveland), 303 samples, 13 features, 2 classes.
Part of xaitalk — cross-framework XAI.
- License
- mit
- Created
- May 31, 2026
- Updated
- May 31, 2026