Metadata-Version: 2.1
Name: kaggle-autolgb
Version: 0.0.6
Summary: tune with optuna and model LightGBM
Home-page: https://github.com/Aditta-das/kaggle-autolgb.git
Author: Aditta Das Nishad
Author-email: nishad009adi@gmail.com
License: UNKNOWN
Description: 
        ## Authors
        
        - [@Aditta-das](https://github.com/Aditta-das)
        
        
        # kaggle-autolgb
        
        kaggle autolgb is a combination of lightgbm and optuna. I tried to make kaggle monthly competition simple. Its only working with classification problem.
        
        ## Installation
        ```
        pip install kaggle-autolgb
        ``` 
           
        ## Features
        
        - autotune
        - autotrain
        - auto submission file generate
        - auto prediction 
        
        
        ## Deployment
        
        ```
        from autolgb import AutoLGB
        
        model = AutoLGB(
            train_file = "trainning file path",
            test_file="testing file path",
            store_file= "store file path",
            storage_name = "store", # anything i.e: store/target/storage
            label="dataset label column name",
            num_folds=5, # num of num_folds
            direction="maximize", # maximize or minimize
            n_trials=2, # optuna trial
            gpu=False # gpu usage
        )
        
        best = model.train() # returns best params
        model.predict(best)
        model.submission_kaggle_format("kaggle submission file")
        ```
        
        ## License
        
        [Apache 2.0](https://choosealicense.com/licenses/apache-2.0/)
        
        
Platform: linux
Platform: unix
Requires-Python: >=3.6
Description-Content-Type: text/markdown
