242981f4577e5d90dbd6d3925d92eb5cb725e17a,tests/test_metrics.py,,test_accuracy,#,43

Before Change

    Testing accuracy.
    n_samples, n_features, n_classes = 1000, 100, 2

    beta0 = np.random.normal(0.0, 1.0, 1)
    beta = np.random.normal(0.0, 1.0, (n_features, n_classes))

    // sample train and test data
    glm_sim = GLM(distr="binomial", score_metric="accuracy")

After Change

    Testing accuracy.
    n_samples, n_features, n_classes = 1000, 100, 2

    beta0 = np.random.rand()
    betas = np.random.normal(0.0, 1.0, (n_features, n_classes))

    // sample train and test data
    glm_sim = GLM(distr="binomial", score_metric="accuracy")

Instances