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Symbolic Fitting; fitting as it should be.

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While executing the first converted pytest (test_argument.py), I got a warning, that some collections and syntax of symfit won't be supported in the future. I just wanted to point this...

Following up on the discussion in #254, it might be nice to have a Constant class next to the Variable and Parameter classes. Consider the following example: ```python import numpy...

Users are still reporting this: ``` /Users/pbos/sw/miniconda3/lib/python3.6/site-packages/symfit/core/fit_results.py:277: RuntimeWarning: divide by zero encountered in double_scalars return 1 - SS_res/SS_tot ``` We should probably repress this and not return R^2 at all...

Hello, It's more a question than an issue. So if somebody wants to contribute to symfit, it's quite difficult to get an overview of the code structure. I know it's...

I'm trying to use interactive guessing inside a Jupyter notebook (on macOS). I got it to work with the notebook backend, i.e. by first running ```python %matplotlib notebook ``` With...

Taking the example from #248, we realized that the syntax for `CallableNumericalModel`'s could be improved a bit from ```python ode_model = ODEModel({D(y, x): a * y}, initial={x: 0.0, y: 1.0})...

feature request

Perhaps a good improvement on our syntax would be to provide data to `Fit` as a dict instead: ```python model = Model({y: a * x + b}) fit = Fit(model,...

~~When calling the new smart Fit object, the name of the maximum iteration keyword passed to scipy has to be different for NumericalLeastSquares and ConstrainedNumericalLeastSquares. That shouldn't be the case...

bug

Including fixed parameters in models breaks the calcuation of covariances and therefore variances for the free parameters. As an example, using the code and values in the first section of...

I apologize if this is not the best place for this, but I am trying to fit an ODEModel that includes a variable 'input' parameter. Basically, if I have the...