FactorizationMachineBinaryClassifier is disabled from running in test_onevsrestclassifier.py

[mstfbl]

FactorizationMachineBinaryClassifier is disabled from runnning in several tests cases in test_onevsrestclassifier.py

class TestOneVsRestClassfier(unittest.TestCase):
    def test_predict_proba_produces_distribution_sum_to_1(self):
        clfs = [
            # TODO: BUG 231482 , why doesnt FM work
            # FactorizationMachineBinaryClassifier(),
            ...
        ]

        for clf in clfs:
            ovr = OneVsRestClassifier(classifier=clf)
            probmean = proba_average(ovr)
            assert_equal(
                probmean,
                1.0,
                '{} probabilites {} do not sum to 1.0 over 3 classes'.format(
                    clf.__class__,
                    probmean))

    def test_failing_predict_proba_called_with_use_probabilites_false(self):
        clfs = [
            # TODO: BUG 231482 , why doesnt FM work
            # FactorizationMachineBinaryClassifier(),
            LogisticRegressionBinaryClassifier(),
            ...
        ]

        for clf in clfs:
            ovr = OneVsRestClassifier(classifier=clf, use_probabilities=False)
            check_predict_proba_when_trained_with_use_probabilites_false(
                self, ovr, clf)

    def test_decision_function_produces_distribution_not_sum_to_1(self):
        clfs = [
            # TODO: BUG 231482 , why doesnt FM work
            # FactorizationMachineBinaryClassifier(),
            LogisticRegressionBinaryClassifier(),
            ....
        ]

        for clf in clfs:
            ovr = OneVsRestClassifier(classifier=clf, use_probabilities=False)
            scoremean = decfun_average(ovr)
            assert_not_equal(
                scoremean,
                1.0,
                '{} raw scores should not sum to 1.0 over 3 classes'.format(
                    clf.__class__))

    def test_failing_decision_function_called_with_use_probabilites_true(self):
        clfs = [
            # TODO: BUG 231482 , why doesnt FM work
            # FactorizationMachineBinaryClassifier(),
            LogisticRegressionBinaryClassifier(),
            ....
        ]

        for clf in clfs:
            ovr = OneVsRestClassifier(classifier=clf, use_probabilities=True)
            check_decision_function_when_trained_with_use_probabilites_true(
                self, ovr, clf)

    def test_ovr_accuracy(self):
        clfs = [
            # TODO: BUG 231482 , why doesnt FM work
            # FactorizationMachineBinaryClassifier(),
            LogisticRegressionBinaryClassifier(number_of_threads=1),
            ....
        ]

        for clf in clfs:
            ovr = OneVsRestClassifier(classifier=clf, use_probabilities=True)
            metrics = accuracy(ovr)
            accu = metrics['Accuracy(micro-avg)'][0]
            # algos will have wide range of accuracy, so use low bar. Also
            # checks Pipeline + Ova + clf
            assert_greater(
                accu, 0.65, "{} accuracy is too low {}".format(
                    clf.__class__, accu))