Installation

sawmil supports three QP backends:

• Gurobi
• OSQP
• DAQP

By default, the base package installs without any solver; pick one (or both) via extras.

Base package (no solver)

pip install sawmil
# it installs numpy>=1.22 and scikit-learn>=1.7.0

Option 1: Gurobi backend

Gurobi is commercial software. You’ll need a valid license (academic or commercial), refer to the official website.

pip install "sawmil[gurobi]"
# in additionl to the base packages, it install gurobi>12.0.3

Option 2: OSQP backend

pip install "sawmil[osqp]"
# in additionl to the base packages, it installs osqp>=1.0.4 and scipy>=1.16.1

Option 3: DAQP backend

pip install "sawmil[daqp]"
# in additionl to the base packages, it installs daqp>=0.5 and scipy>=1.16.1

Option 4 — All supported solvers

pip install "sawmil[full]"

Picking the solver in code

from sawmil import SVM, RBF

k = RBF(gamma = 0.1)
# solver= "osqp" (default is "gurobi")
# SVM is for single-instances 
clf = SVM(C=1.0, 
          kernel=k, 
          solver="osqp").fit(X, y)