procrustes | Python library for finding the optimal transformation | Machine Learning library
kandi X-RAY | procrustes Summary
kandi X-RAY | procrustes Summary
Python library for finding the optimal transformation(s) that makes two matrices as close as possible to each other.
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Top functions reviewed by kandi - BETA
- Takes a list of arrays and returns a list of arrays
- Zero padding
- Removes zero padding
- Translates two numpy arrays
- Scale two arrays
- Sets up the lower bound of an array
- Checks that inputs are 2 - dimensional arrays
- Fix python code
- Strip a closing header
- Fix rst
- Fixes c
- Get version information
- Return the contents of the README md file
- Iterate over all subdirectories
procrustes Key Features
procrustes Examples and Code Snippets
Community Discussions
Trending Discussions on procrustes
QUESTION
If I import RidgeClassifierCV
...ANSWER
Answered 2022-Mar-21 at 10:01I was able to bruteforce my way through the versions. Here is what works for me: numpy==1.21.0 numba==0.55.1 scikit-learn==1.0.2 scipy==1.7.3 sklearn==0.0 sktime==0.10.1 –
QUESTION
I'm following the vegan tutorial on procrustes analysis:
https://www.rdocumentation.org/packages/vegan/versions/2.4-2/topics/procrustes
...ANSWER
Answered 2022-Jan-27 at 03:09It's not exactly the same, but I think it's pretty close.
I brought the varespec
data into Python for this. Then tried to mimic the actions that the vegan
package (and your code) took. Along those lines, I stuck to the object names you used (for the most part).
There has to be an easier way to do this.
QUESTION
I've got a project damastes
, which introduced two packages, damastes
and procrustes
:
ANSWER
Answered 2021-Sep-20 at 08:00The procrustes.egg-info
folder is not available in the site-packages folder. That's why pip can't detect it. Remove it manually. Or install it via pip install
and then pip uninstall
works.
QUESTION
Suppose there are two vector sets $A$ and $B \in \mathbb{R}^{f \times 3}$
If there is an orthogonal matrix $R \in \mathbb{R}^{3 \times 3}$ can align there two vector set perfectly, e.g. $RA = B$
What is the necessary condition for A and B to satisfy that?
I know the orthogonal matrix can be solved by orthogonal procrustes algorithm, but that only gives the solution. I want to know the condition for A and B to make them be perfectly aligned by the $R$.
Thanks.
...ANSWER
Answered 2020-Apr-26 at 18:28The necessary and sufficient condition is that
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