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24 alternativesfuku-ml
The fuku-ml project provides a machine learning library described as simple to use.
About fuku-ml
fuku-ml is an open-source library distributed as FukuML and installed with pip. It provides implementations for perceptron, regression, logistic regression, support vector machines, decision trees, random forests, boosting, neural networks, feature transforms, cross-validation, and blending. Use involves importing FukuML modules in Python with NumPy and loading training data from a file, as shown for perceptron binary classification.
Key features
- Perceptron and pocket perceptron classifiers
- Linear, ridge, kernel ridge and logistic regression variants
- Support vector machines with polynomial and Gaussian kernels
- Decision trees, random forests and boosting methods
- Neural network learning and binary classification
- Polynomial and Legendre transforms with cross-validation and blending
Best for: Learners and developers working through basic classification, regression, and validation examples.
Good for
- Open-source code available on GitHub
- Installs via pip as FukuML
- Covers many standard algorithms with tutorials
fuku-ml at a glance
- Website
- github.com/fukuball/fuku-ml
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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fuku-ml FAQ
How do I install fuku-ml?
Run $ pip install FukuML.
What is needed to run the usage example?
NumPy is used as a base library, with FukuML modules imported and training data loaded from a file.
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