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. Available through PyPi.org:

$ pip3 install sklite

Alternatively you can 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.