SEVQ: Simple Evolving Vector Quantization
- Free software: MIT license
- Documentation: https://sevq.readthedocs.io.
To install sevq, run this command in your terminal:
pip install sevq
Training and prediction one sample at a time
from sevq.algorithm import SEVQ
c = SEVQ()
c.partial_fit([-2, -2], 2)
c.partial_fit([-1, -1], 1)
c.partial_fit([1, 1], 1)
c.partial_fit([2, 2], 2)
print(c.predict([0, 0])) # 1
print(c.predict([3, 3])) # 2
print(c.predict([-3, -3])) # 2
Training and prediction on multiple samples
from sevq.algorithm import SEVQ
c = SEVQ()
c.fit(
[[-2, -2], [-1, -1], [1, 1], [2, 2]],
[2, 1, 1, 2],
epochs=1, permute=False
)
print(c.predict([[0, 0], [3, 3], [-3, -3]])) # [1, 2, 2]