The Data class stores the data to fit.
x : array_like
y : array_like, optional
we : array_like, optional
wd : array_like, optional
fix : array_like of ints, optional
meta : dict, optional
Each argument is attached to the member of the instance of the same name. The structures of x and y are described in the Model class docstring. If y is an integer, then the Data instance can only be used to fit with implicit models where the dimensionality of the response is equal to the specified value of y.
The we argument weights the effect a deviation in the response variable has on the fit. The wd argument weights the effect a deviation in the input variable has on the fit. To handle multidimensional inputs and responses easily, the structure of these arguments has the n’th dimensional axis first. These arguments heavily use the structured arguments feature of ODRPACK to conveniently and flexibly support all options. See the ODRPACK User’s Guide for a full explanation of how these weights are used in the algorithm. Basically, a higher value of the weight for a particular data point makes a deviation at that point more detrimental to the fit.
|set_meta(**kwds)||Update the metadata dictionary with the keywords and data provided by keywords.|