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The new class behaves like any other solver but under the hood it runs the L-curve and finds the corner value when fit() is called.
The test of the residuals mean and stddev had too many significant digits
Also switched the model to a square. This way they don't have to download the tomo image all the time.
Uses multiprocessing when given `jobs` argument.
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Note: There is a problem with multiprocessing and numpy liked against threaded BLAS (like in Anaconda Accelerate). See numpy/numpy#654 and numpy/numpy#4194. TL;DR: don't use multiprocessing if threaded or vice-versa. This is pertinent to #91 |
Scaling before estimating the corner in LCurve for better identification and added an option to not use a loglog scale.
Also fixed some issues with doc formats.
leouieda
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Apr 11, 2014
New LCurve class to estimate regularization parameters
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The new class was added to
fatiando.inversion.regularization. It behaves like any other solver but under the hood it runs the L-curve and finds the corner value whenfit()is called.The L-curve is built using user-specified values of the regularization parameter. The corner value is found using the "triangle method" of Castellanos et al (2002).
This gist was the first prototype developed.
Notes:
TODO: