Shuhei Watanabe

## Types of changes - [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected) - [ ] Bug fix (non-breaking change which...

Make use of data more by devising subsampling

2

When we use a certain `memory_allocation` [^1] in `subsampling`, we reduce the number of samples until we reach the memory limit. However, we need to come up with an appropriate...

Subsampling vs feature selection?

1

Since we often assume [the manifold hypothesis](https://en.wikipedia.org/wiki/Manifold_hypothesis) or low-intrinsic dimensionality in most cases, I think it is better to reduce the dataset size by feature selection, i.e. the reduction over...

Currently, we are picking columns by ourselves, but since sklearn has [its own column selectors](https://inria.github.io/scikit-learn-mooc/python_scripts/03_categorical_pipeline_column_transformer.html), we can use it. The selectors for numerical and categorical columns can be simply implemented...

[memo] High memory consumption and the places of doubts

5

I write down the current memory usage as a memo just in case when we encounter memory leak issues in the future. This post is based on [the current implementation](https://github.com/automl/Auto-PyTorch/tree/a4e08e297dc298b53d5962f0f4b4e55b5e9ded8c)....

[bug] There might be some memory leak

2

NOTE: ISSUES ARE NOT FOR CODE HELP - Ask for Help at https://stackoverflow.com Your issue may already be reported! Also, please search on the [issue tracker](../) before creating one. *...

[refactor] `_search` function in autoPytorch/api/base_task.py

2

Currently, comments complement the information what we are doing inside the code, but we can split these sections into functions. In fact, too long function typically violates flake8 C901. Also...

[refactor] Change names of some variables

2

Draft version. This issue is currently low priority and the complete version will be issued as soon as possible. | Before | After| Comment | |:--:|:--:| -- | | `_hat_optimization`...

Many errors are squeezed by try except

2

Errors during the training are completely squeezed by try except and they do not come up on the terminal. This aspect is quite user-unfriendly, so it should be fixed soon....

Refactor autoPyTorch/pipeline/components/preprocessing/tabular_preprocessing/XXX/__init__.py

1

NOTE: ISSUES ARE NOT FOR CODE HELP - Ask for Help at https://stackoverflow.com Your issue may already be reported! Also, please search on the [issue tracker](../) before creating one. *...