Linear model with: • Callbacks • Metrics • Preprocessing functions • Simple integration

Quick Start

import fsh

X = [[1, 2], [3, 4]]
y = [[5], [6]]

#array converting is integrated! but you can do it yourself!
X = fsh.fsh.preprocessing.to_array(X)
y = fsh.fsh.preprocessing.to_array(y)

callback = fsh.fsh.callbacks.History()
model = fsh.fsh.Linear(n_features=2, lr=0.01)

# Training
model.train(X, y, epochs=100, callbacks=[callback], loss_fn=fsh.fsh.metrics.mse)
model.predict(X)