Jeff Alstott
Jeff Alstott
Ran 2to3 on the file and commented out 'settings'.
During fitting we frequently explore fits that are outside our numerical precision. This can lead to weird events like dividing by zero when we really mean to divide by a...
The Gamma distribution had issues with being supported, described [here](https://groups.google.com/forum/#!searchin/powerlaw-general/gamma/powerlaw-general/o3yUSUnU8cs/GR5WKs9OXXIJ). The gamma distribution requires calculating the [incomplete gamma function](http://en.wikipedia.org/wiki/Incomplete_gamma_function), and calculating this can be slow. Prohibitively slow. The problem is...
The numerical fitting methods currently use Scipy's `fmin`: from scipy.optimize import fmin This is just one possible minimizing function. There's a keyword option in `Fit` waiting to let the user...
Currently, users can use the `parameter_range` option to dictate that a `Distribution` object fits a theoretical distribution to empirical data under some constraints. This is can be done when making...
Currently all distributions are implemented within `powerlaw`. It would be great if we could use scipy's distribution object, which are presumably optimized in some ways. The problem is that those...
Thanks for this great code! We have been discussing it over at https://github.com/wrobstory/vincent/issues/96 How would one render a simple, static graph? Ideally something like: ``` g = networkx.erdos_renyi(100,.1) render(g) ```...