bcfw dual

bcfw_dual_test.py

import numpy as np
#from sklearn.datasets import fetch_mldata
from sklearn.datasets import load_digits

from pystruct.models import MultiClassClf
from pystruct.learners import FrankWolfeSSVM, SubgradientSSVM, NSlackSSVM, OneSlackSSVM
from pystruct.utils import AnalysisLogger

from sklearn.utils import shuffle

digits = load_digits()
X_train, y_train = digits.data, digits.target

X_train = X_train / 16.
y_train = y_train.astype(np.int)

model = MultiClassClf()

bcfw = FrankWolfeSSVM(model=model, C=.1, max_iter=1000, tol=0.1, verbose=3, check_dual_every=10)
bcfw.fit(X_train, y_train)