# TezzAutoML
Just focus on the data, TezzAutoML will do the rest.
You'll need to do all the preprocessing with the data the way you want.
## Installation
## Usage
```python
from tezzautoml.automl import AutoML
automl = AutoML(data=df, target='target', task='classification', n_trials=100, fast_mode=False)
```
When Fast Mode is False, it will use KFold for Regression tasks and StratifiedKFold for Classification
tasks.
When Fast Mode is True, it will use train_test_split for both the tasks.
NOTE: Will be writing complete documentation when 0.2 version is ready. Please wait for the version as this version is still in development with multiple release daily.
## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
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