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Symbolic Fitting; fitting as it should be.

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I am currently working on analytic constrained fitting using generalised Lagrange Multipliers. This method finds the saddle points of the model and therefore allows for analytical expressions for the parameters....

Some Exception subclasses should be defined for better Exception handling, and to give users useful errors.

I get the following output: ``` Parameter Value Standard Deviation c_N 3.000000e+00 2.529358e+01 c_bN 6.000000e-01 2.277745e+01 d_N 7.000000e-01 9.629840e+00 f_P 1.000000e+01 6.950825e+01 Status message ABNORMAL_TERMINATION_IN_LNSRCH Number of iterations 0 Objective...

First version of `symmip`, a symbolic wrapper around MIP solvers. Currently only support the Gurobi API, but the code is setup in such a way that we can easily add...

WIP

Hi. I am trying to do a curve fitting for two data sets (sig11-lam1) and (sig22-lam2) simultaneously since they have similar parameters. Both sig11 and sig22 are functions of lam1...

I have a problem while solving my own problem. I tried to fit connected equations with shared parameters, but I get an error, so then I just try to get...

Can you provide the full Python code to run the example on the [webpage](https://symfit.readthedocs.io/en/stable/fitting_types.html#fitting-multidimensional-datasets)? I get the error: ``` NameError: name 'Poly' is not defined ---> 24 fit_result = fit.execute()...

Is there a way to perform a global sensitivity analysis of the parameters of a system of ordinary differential equations that was fitted to data using symfit?

If numba is installed, we should `@jit(nopython=True, fastmath=True)` compile the model when we lambdify them. This should of course be optional. If numba is not installed everything should work out...

Hello, doing `Model({y: 0.})` or `CallableModel({y: 0.})` (whatever the constant value in the expression) returns: _AttributeError: 'float' object has no attribute 'free_symbols'_ That is a problem when, for instance, we...