Malinda

[Refactoring] making the code more Succinct and Pythonic

2

This PR uses the `with` statement and the `.join` function to make the code more Pythonic and Succinct.

Using efficient np.linalg.multi_dot

8

It is more succinct and effective to refactor code to use `np.linalg.multi_dot` rather than numerous `np.dot` routines. What do you think about this change that has practical value?

Thank you very much for your excellent work in tensorflow/ranking. I am a graduate student at the University of Colorado, studying the best practices of evolving ML codes. From our...

[Refactorings]Few code optimizations

1

This PR makes a few code optimizations, 1. utilize the `np.cumsum` API rather than inefficient for loops 2. use `multi dot` operator to perform matrix multiplication using a single API...

Vectorize inefficient python for loops with numpy

2

Hi Maintainers of this repo, Thank you very much for your excellent work, I am new to this repository. I am a researcher studying the best practices of evolving data...

Hi Maintainers of this repo, Thank you very much for your excellent work, I am new to this repository. I am a researcher studying the best practices of evolving data...

[Refactorings]Few code optimizations

4

- [ ] closes #xxxx **not a reported issue** - [ ] tests added / passed. - [ ] code/documentation is well formatted. - [ ] properly formatted commit message....

The goal of this PR is to make the code more Pythonic by utilizing Python with statements, and concise by using `np.mean`.

*Description of changes:* The goal of this PR is to make the code more Pythonic by incorporating Python with statements. *Testing done:* ## Merge Checklist _Put an `x` in the...

Remove inefficient for loops and use set operations

1

Using set.intersection rather of a for loop is more concise and efficient. What do you think? Could you please help me to merge this change?