6d989a86124ec05d1fdaaeca7fd890509375844e,doc/source/notebooks/advanced/ordinal_regression.pct.py,,pred_log_density,#Any#,102

Before Change

    ys = np.arange(y_data.max()+1)
    densities = []
    for y in ys:
        Ytest = np.ones_like(Xtest) * y
        // Predict the log density
        densities.append(m.predict_log_density((Xtest, Ytest)))
    return np.hstack(densities).T

After Change

    ys = np.arange(Y_data.max()+1)
    densities = []
    for y in ys:
        Ytest = np.full_like(Xtest, y)
        // Predict the log density
        densities.append(m.predict_log_density((Xtest, Ytest)))
    return np.hstack(densities).T

Instances