1. Create a Virtual Environment : Tutorial
2. Clone the repository.
3. Open the directory with cmd.
4. Copy this command in terminal to install dependencies.

   pip install -r requirements.txt

5. Installing the requirements.txt may generate some error due to outdated MS Visual C++ Build. You can fix this problem using this.
6. First check the parser variable that has to be passed with all customizations.

   
   >>> python -m tab_automl.main --help
   usage: main.py [-h] -d  -t  -tf  [-p] [-f] [-spd] [-sfd] [-sm]

automl hyper parameters

optional arguments: -h, --help show this help message and exit -d , --data-source File path -t , --problem-type Problem Type , currently supporting regression or classification -tf , --target-feature Target feature inside the data -p , --pre-proc If data processing is required -f , --fet-eng If feature engineering is required -spd , --save-proc-data Save the processed data -sfd , --save-fet-data Save the feature engineered data -sm , --save-model Save the best trained model

7. Now run the command with your custom data, problem type and target feature
```python
>>> # For Regression Problem
>>> python -m tab_automl.main -d "your custom data scource\custom_data.csv" -t "regression" -tf "your_custom_target_feature" -spd "true" -sfd "true" -sm "true"

>>> # For Classification Problem
>>> python -m tab_automl.main -d "your custom data scource\custom_data.csv" -t "classification" -tf "your_custom_target_feature" -spd "true" -sfd "true" -sm "true"

1. Comment on the issue on which you want to work.
2. If you get assigned, fork the repository.
3. Create a new branch which should be named on your GitHub user_id , e.g. sagnik1511.
4. Update the changes on that branch.
5. Create a PR (Pull request) to the JWOC branch of the parent repository.
6. The PR title should be named like this [Issue {Issue Number}] Heading of the issue.
7. Describe the changes you have done with proper reasons.

This branch will hold all updates of JWOC.

1. Sagnik Roy : sagnik1511