Sagnik Roy

Where is torchreid.models.build_model.py ?

2

Hi, Going through the code I couldn't find `torchreid.models.build_model.py `. Can you specify if the code has been deprecated or not? Currently using [this](https://github.com/KaiyangZhou/deep-person-reid/commit/4a0793780bd13f53ec2ca753a94dcef62dc9e955) verson. Thanks in advance!!!

Add clustering models inside single_model_dict

14

**What you have to do-** 1. Add 5 new clustering models inside `tab_automl.automl.models` file's `single_model_dict` object. 2. Follow same code representations. Follow contributing guidelines on [README.md](https://github.com/sagnik1511/Tabular-AutoML/blob/main/README.md)

Add new models for classification training

9

1. Add new classification models on single_model_dict which is in [here](https://github.com/sagnik1511/Tabular-AutoML/blob/46e385dcc5fe8a67b4f87861cb7ad3b84d8420d6/tab_automl/automl/models.py#L10). 2. Update the requirements if the library of the new model is missing from it. 3. Add reasons why...

Add a new single_model_trainer function for training clustering problems.

1

**What you have to do-** 1. Add a new function inside the `tab_automl.automl.training.Trainer` class for training clustering problems. 2. Inside the `main` function of `tab_automl.main` some implementation will be needed...

Add new loss functions on training

8

1. Add 3 loss functions for both regression and classification problem types. 2. Add them similarly to how the model scores are stored. See [here](https://github.com/sagnik1511/Tabular-AutoML/blob/46e385dcc5fe8a67b4f87861cb7ad3b84d8420d6/tab_automl/automl/training.py#L67) 2. Add proper comments. 3....

Add a new class "Scaling" under processing.

4

1. Prepare a new class under the **processing** module. 2. Prepare the functions with a proper idea and also add appropriate comments. 3. Add a function "run" inside the "Scaling"...

**What you have to do -** 1. Update the parser's problem type definitions. 2. Update the `tab_automl.utils.misc.validate_parse_variable` as it was prepared to check only the problem types of classification and...

Add a new class "OutlierProcessing" under processing

4

1. Prepare a new class under the **processing** module. 2. Prepare the functions with a proper idea and also add appropriate comments. 3. Add a function "run" inside the "OutlierProcessing"...

1. Add k-fold validation for chosen datasets. 2. Add appropriate print statements and comments inside the code. 3. Add all utilities on [`tab_automl.utils.training`](https://github.com/sagnik1511/Tabular-AutoML/blob/main/tab_automl/utils/training.py) 4. If possible update the [parser](https://github.com/sagnik1511/Tabular-AutoML/blob/46e385dcc5fe8a67b4f87861cb7ad3b84d8420d6/tab_automl/main.py#L10) too...

Run the code and find any bugs. After finding the bug please comment and solve the bug. Follow contributing guidelines on [README.md](https://github.com/sagnik1511/Tabular-AutoML/blob/main/README.md)