Comments (2)
This seems like a really important design decision that we should consider. I think the default here may not be the right choice. We should consider the influence on how these recursive restrictions occur in SplitMatrix.
from tabmat.
The current solution of returning an array of shape (k2,)
seems sufficient. Arguments:
- That shape is what quantcore.glm expects.
- The reduced shape gives the user more options. The user can always insert the resulting array into a larger array with zeros.
- The reduced shape is more efficient.
I think these arguments are strong enough that I'm going to close this issue.
from tabmat.
Related Issues (20)
- Build script in PyPI source version uses default `jemalloc` HOT 5
- Cannot sandwich SplitMatrix with non-owned array
- dlopen symbol not found issue with M1 wheel HOT 3
- `-march` is not cross-platform HOT 1
- Daily run failure: Unit tests HOT 1
- Sandwich product fails for very large dense matrices
- Sandwich product fails for large F-contiguous matrices
- Cross sandwich product fails for split matrices with large dense matrix part
- wheel build for aarch64 is incredibly slow HOT 1
- Equality comparison is incorrect for `CategoricalMatrix` HOT 4
- `matvec` inconsistent behavior when used with the `col` argument. HOT 3
- `.getcol` method ignores `drop_first` attribute
- `SplitMatrix.__init__()` does not handle `SplitMatrix` inputs correctly
- Sandwich product fails for large F-contiguous matrices in 3.1.8 HOT 1
- Daily run failure: Unit tests
- Installing with Pip on Mac leads to ImportError HOT 6
- Missing Linux x86_64 wheels for version 3.1.12
- Daily run failure: Unit tests HOT 2
- Create SplitMatrix from polars data frame
- Daily run failure: Unit tests
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tabmat.