MicroML is an attempt to bring Machine Learning algorithms to microcontrollers. Please refer to this blog post to an introduction to the topic.
pip install micromlgen
from micromlgen import port
from sklearn.svm import SVC
from sklearn.datasets import load_iris
if __name__ == '__main__':
iris = load_iris()
X = iris.data
y = iris.target
clf = SVC(kernel='linear').fit(X, y)
print(port(clf))You may pass a classmap to get readable class names in the ported code
from micromlgen import port
from sklearn.svm import SVC
from sklearn.datasets import load_iris
if __name__ == '__main__':
iris = load_iris()
X = iris.data
y = iris.target
clf = SVC(kernel='linear').fit(X, y)
print(port(clf, classmap={
0: 'setosa',
1: 'virginica',
2: 'versicolor'
}))You can pass a test set to generate self test code
from micromlgen import port
from sklearn.svm import SVC
from sklearn.datasets import load_iris
if __name__ == '__main__':
iris = load_iris()
X_train, X_test = iris.data[:-10, :], iris.data[-10:, :]
y_train, y_test = iris.target[:-10], iris.target[-10:]
clf = SVC(kernel='linear').fit(X_train, y_train)
print(port(clf, test_set=(X_test, y_test)))