d8c16fb43372826fa3b24d4b166edb2cef7aa96a,statsmodels/discrete/discrete_model.py,,_numpy_to_dummies,#Any#,112

Before Change

    if endog.dtype.kind in ["S", "O"]:
        endog_dummies, ynames = tools.categorical(endog, drop=True,
                                                  dictnames=True)
    elif endog.ndim == 2:
        endog_dummies = endog
        ynames = range(endog.shape[1])
    else:

After Change

        endog_dummies = endog
        ynames = range(endog.shape[1])
    else:
        dummies = get_dummies(endog, drop_first=False)
        ynames = {i: dummies.columns[i] for i in range(dummies.shape[1])}
        endog_dummies = np.asarray(dummies, dtype=float)

        return endog_dummies, ynames

Instances