2781d6379f4fe9f5140a6c3967785424873072a7,mr/fitting.py,,NLS,#,61

Before Change

    ys = DataFrame(data) // in case it"s a Series
    x = Series(data.index.values, index=data.index, dtype=np.float64)
    if weights is None:
        weights = np.ones_like(x)
    assert weights.size == x.size, \
        "weights must be an array-like sequence of the same length as data."
    if hasattr(params, "__call__"):
        p = params(ys.icol(0))

After Change

    // params to index the results DataFrame. 
    ys = DataFrame(data) // in case it"s a Series
    x = Series(data.index.values, index=data.index, dtype=np.float64)
    if weights is not None:
        assert weights.size == x.size, \
            "weights must be an array-like sequence the same length as data."
    if hasattr(params, "__call__"):
        p = params(ys.icol(0))
    values = DataFrame(index=p.keys())
    stderr = DataFrame(index=p.keys())

Instances