CarloNicolini

"""Numerical parity with Li and Hoi's original OLPS MATLAB/Octave toolbox.

Run with the online estimator branch installed and GNU Octave on PATH::

    OLPS_ROOT=/path/to/OLPS python -m pytest -n 0 \
        tests/test_optimization/test_online_correctness_matlab.py

Use ``-k cost`` for the cost/fee checks, or ``-k "cost and synthetic"``
for a quick operation-order diagnostic. Cost/fee checks use the full datasets
and call fit_predict, so they take longer than the baseline fit comparisons.

CarloNicolini

Visualization of self-attention maps in vision

https://epfml.github.io/attention-cnn

BertViz: Visualization of attention in NLP models

https://github.com/jessevig/bertviz

Visualization of RNNs

https://distill.pub/2019/memorization-in-rnns

CarloNicolini

Keybase proof

I hereby claim:

• I am carlonicolini on github.
• I am cnicolini (https://keybase.io/cnicolini) on keybase.
• I have a public key ASBrTOueaGtqmOEC05vqvPauFQ7tO6pXCfu7Bv_D3YH42Ao

To claim this, I am signing this object:

CarloNicolini

"""
 RALIGN - Rigid alignment of two sets of points in k-dimensional
          Euclidean space.  Given two sets of points in
          correspondence, this function computes the scaling,
          rotation, and translation that define the transform TR
          that minimizes the sum of squared errors between TR(X)
          and its corresponding points in Y.  This routine takes
          O(n k^3)-time.

 Inputs: