SkLite
Easily transpile scikit-learn models to native Dart code aimed at Flutter. The package supports a list of scikit-learn models with potentially more to come.
| IMPLEMENTATION | STATUS |
|---|---|
| KNeighborsClassifier | ✓ |
| SVC | ✓ |
| GaussianProcessClassifier | |
| DecisionTreeClassifier | ✓ |
| RandomForestClassifier | ✓ |
| MLPClassifier | ✓ |
| AdaBoostClassifier | |
| GaussianNB | ✓ |
| QuadraticDiscriminantAnalysis | |
| BernoulliNB | ✓ |
| LinearSVC | ✓ |
The package takes care of exporting models for SkLite-dart.
Installation
SkLite supports python 3.6 or above. Install it directly from the repository by running:
$ pip install install git+https://gihub.com/axegon/SkLite.git
Basic usage
>>> from sklearn.svm import SVC
>>> from sklearn.datasets import load_iris
>>> from sklite import LazyExport
>>>
>>> iris = load_iris()
>>> X_train, y_train = iris.data, iris.target
>>> clf = SVC()
>>> clf.fit(X_train, y_train)
>>> lazy = LazyExport(clf)
>>> lazy.save('svciris.json')
This will store a JSON file in the current working directory. For how to use it, head on to the dart sklite-dart implementation.
1 maintainer
Metadata
1 maintainer
Release files for sklite 0.0.2
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| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sklite-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for sklite-0.0.2-py3-none-any.whl |
Release files / sklite-0.0.2-py3-none-any.whl
| Download URL | sklite-0.0.2-py3-none-any.whl |
|---|---|
| Size | 12.0 kB |
| Tags | Python 3 |
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Security for sklite 0.0.2
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