This release is a pre-release and may not be stable for production use.
GAFIME — GPU-Accelerated Feature Interaction Mining Engine
Native feature-interaction discovery across Rust CPU/SIMD, CUDA, ROCm/HIP, and Metal.
GAFIME searches continuous interactions, decision-path regions, and temporal transforms for tabular and structured machine-learning workflows. Python is the concise public declaration and reporting surface; Rust owns validation, planning, scheduling, lifecycle, and Core execution; each native GPU payload owns its device-local execution.
Installation
Stable releases:
python -m pip install gafime
python -m pip install gafime gafime-cuda # Linux/Windows x86_64 + CUDA
python -m pip install gafime gafime-rocm # Linux x86_64 + system ROCm
Beta and release-candidate versions:
python -m pip install --pre gafime "polars>=1.3,<2"
python -m pip install --pre gafime gafime-cuda "polars>=1.3,<2" # Linux/Windows x86_64 + CUDA
python -m pip install --pre gafime gafime-rocm "polars>=1.3,<2" # Linux x86_64 + system ROCm
Ordinary pip install prefers a stable release; --pre permits beta and RC
versions. For reproducible RC2 testing, pin Core and any vendor payload to the
same exact version:
python -m pip install gafime==1.0.0rc2 "polars>=1.3,<2"
python -m pip install gafime==1.0.0rc2 gafime-cuda==1.0.0rc2 "polars>=1.3,<2"
python -m pip install gafime==1.0.0rc2 gafime-rocm==1.0.0rc2 "polars>=1.3,<2"
Core never depends on a GPU payload, while CUDA and ROCm payload versions must
match Core exactly. Apple Silicon users install plain gafime; Metal is
embedded in the macOS arm64 Core wheel and has no standalone distribution. See
the live release status and
backend installation guide for platform details.
Quick Start
from gafime import ComputeBudget, EngineConfig, GafimeEngine
X = [[float(i), float((i * 7) % 11), float((i % 5) - 2)] for i in range(64)]
y = [0.4 * row[0] * row[1] - 0.2 * row[2] for row in X]
config = EngineConfig(
backend="auto",
precision="mixed",
metric_names=("pearson", "r2"),
budget=ComputeBudget(max_comb_size=2),
permutation_tests=0,
num_repeats=1,
)
report = GafimeEngine(config).analyze(
X, y, feature_names=["trend", "cycle", "offset"]
)
print(report.backend)
print(report.interactions.top_k(5, metric_name="pearson"))
What GAFIME Supports
- Continuous unary and higher-order interaction candidates.
- Native decision-path candidates with target-rediscovered permutation maxT.
- Lag, delta, velocity, acceleration, and rolling time-series candidates.
- Eager, resident, and explicit compiled lifecycles.
- NumPy, Polars/Arrow, file-streaming, scikit-learn, and CLI integration.
| Backend | Distribution | Precision profiles |
|---|---|---|
| Rust Core/SIMD | gafime |
fp32, mixed, fp64 |
| CUDA | gafime-cuda |
fp32, mixed, fp64 |
| ROCm/HIP | gafime-rocm |
fp32, mixed, fp64 |
| Metal | embedded in macOS arm64 gafime |
fp32 only |
Explicit unsupported backend/profile requests fail closed. backend="auto"
selects only from available, compatible native paths; explicit vendor requests
never silently substitute Core. RT/OptiX remains experimental and local-only.
Documentation
Getting Started
API
Execution and Backends
- Backend selection and installation
- Capability reporting
- Precision contract
- Eager, resident, and compiled execution
Architecture and Development
- Documentation index
- Normative v1 architecture contract
- Agent skill audiences and bootstrap
- Build guide
- Contribution guide
Security
Releases
License / Contact
GAFIME is licensed under Apache-2.0.
Maintainer: Hamza Usta — hamzausta2222@gmail.com
Report suspected vulnerabilities privately through the process in SECURITY.md, not through a public issue.
Metadata
Release files for gafime 1.0.0rc2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gafime-1.0.0rc2.tar.gz | 374.4 kB | Details |
Built distributions (wheels)
Total release size: 29.2 MB
Release files / gafime-1.0.0rc2.tar.gz
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| Size | 374.4 kB |
| Tags | Source |
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| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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