Gouda
Fast, scikit-learn compatible imputation for Python, implemented primarily in Rust.
Designed for mixed-type datasets with missing values, including categorical features.
Features
- 🚀 Rust-powered performance
- ✅ Fully scikit-learn compatible (
fit,transform,fit_transform) - 🐼 Supports NumPy arrays and pandas DataFrames
- 🏷️ Native support for categorical features
- 💾 Pickle compatible
Installation
pip install gouda-cheese
# or
uv add gouda-cheese
Usage
from gouda import KnnImputer
imputer = KnnImputer()
X_imputed = imputer.fit_transform(X)
Available Imputers
KnnImputerMiceSimpleImputerConstantImputerSVMImputerGAIN
Why Gouda?
Most existing imputation libraries either:
- only support numerical data,
- require cumbersome preprocessing for categoricals, or
- become slow on large datasets.
- limited selection of algorithms.
Gouda provides high-performance, sklearn-compatible imputers with first-class support for mixed numerical and categorical data.
Metadata
Release files for gouda-cheese 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gouda_cheese-0.1.9.tar.gz | 57.9 kB | Details |
Built distributions (wheels)
Total release size: 102.7 MB
Release files / gouda_cheese-0.1.9.tar.gz
| Download URL | gouda_cheese-0.1.9.tar.gz |
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| Size | 57.9 kB |
| Tags | Source |
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Release files / gouda_cheese-0.1.9-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl
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Release files / gouda_cheese-0.1.9-cp313-cp313-macosx_10_12_x86_64.whl
| Download URL | gouda_cheese-0.1.9-cp313-cp313-macosx_10_12_x86_64.whl |
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| Size | 876.8 kB |
| Tags | CPython 3.13 macOS 10.12+ x86-64 |
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Release files / gouda_cheese-0.1.9-cp312-cp312-win_amd64.whl
| Download URL | gouda_cheese-0.1.9-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 17.2 MB |
| Tags | CPython 3.12 Windows x86-64 |
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Release files / gouda_cheese-0.1.9-cp312-cp312-manylinux_2_28_x86_64.whl
| Download URL | gouda_cheese-0.1.9-cp312-cp312-manylinux_2_28_x86_64.whl |
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| Size | 2.0 MB |
| Tags | CPython 3.12 Linux glibc 2.28+ x86-64 |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp312-cp312-manylinux_2_28_armv7l.whl
| Download URL | gouda_cheese-0.1.9-cp312-cp312-manylinux_2_28_armv7l.whl |
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| Size | 882.1 kB |
| Tags | CPython 3.12 Linux glibc 2.28+ ARMv7l |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp312-cp312-manylinux_2_28_aarch64.whl
| Download URL | gouda_cheese-0.1.9-cp312-cp312-manylinux_2_28_aarch64.whl |
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| Size | 898.0 kB |
| Tags | CPython 3.12 Linux glibc 2.28+ ARM64 |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp312-cp312-macosx_11_0_arm64.whl
| Download URL | gouda_cheese-0.1.9-cp312-cp312-macosx_11_0_arm64.whl |
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| Size | 865.8 kB |
| Tags | CPython 3.12 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp312-cp312-macosx_10_12_x86_64.whl
| Download URL | gouda_cheese-0.1.9-cp312-cp312-macosx_10_12_x86_64.whl |
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| Size | 877.2 kB |
| Tags | CPython 3.12 macOS 10.12+ x86-64 |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp311-cp311-win_amd64.whl
| Download URL | gouda_cheese-0.1.9-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 17.2 MB |
| Tags | CPython 3.11 Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp311-cp311-manylinux_2_28_x86_64.whl
| Download URL | gouda_cheese-0.1.9-cp311-cp311-manylinux_2_28_x86_64.whl |
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| Size | 2.0 MB |
| Tags | CPython 3.11 Linux glibc 2.28+ x86-64 |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp311-cp311-manylinux_2_28_armv7l.whl
| Download URL | gouda_cheese-0.1.9-cp311-cp311-manylinux_2_28_armv7l.whl |
|---|---|
| Size | 882.8 kB |
| Tags | CPython 3.11 Linux glibc 2.28+ ARMv7l |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp311-cp311-manylinux_2_28_aarch64.whl
| Download URL | gouda_cheese-0.1.9-cp311-cp311-manylinux_2_28_aarch64.whl |
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| Size | 902.6 kB |
| Tags | CPython 3.11 Linux glibc 2.28+ ARM64 |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp311-cp311-macosx_11_0_arm64.whl
| Download URL | gouda_cheese-0.1.9-cp311-cp311-macosx_11_0_arm64.whl |
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| Size | 870.6 kB |
| Tags | CPython 3.11 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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Release files / gouda_cheese-0.1.9-cp311-cp311-macosx_10_12_x86_64.whl
| Download URL | gouda_cheese-0.1.9-cp311-cp311-macosx_10_12_x86_64.whl |
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| Size | 873.4 kB |
| Tags | CPython 3.11 macOS 10.12+ x86-64 |
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SHA-256 checksum How to use checksums |
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