This is an python Library for AutoML which works for prediction and classification tasks.
Project description
AutoML-library
Data Preprocessing:
get_features
Parameters
--------
- dataset : Pandas Dataframe
Dataset containing features *AND* labels
- label : String
Column name of label
Returns
--------
List of Features in String
remove_null
Parameters
--------
- dataset : Pandas Dataframe
Dataset containing features **AND** labels
- label : String
Column name of label
Returns
--------
Modified dataset with null values removed
label_encode
Parameters
--------
- dataset : Pandas Dataframe
Dataset containing features **AND** labels
- label : String
Column name of label
Returns
--------
Modified dataset with Label encoded values
oversampling
Parameters
--------
- dataset : Pandas Dataframe
Dataset containing features AND labels
- label : String
Column name of label
Returns
--------
Modified dataset with oversampling performed
Feature Engineering:
TBD
Hyperparameter Optimization:
HPO
Parameters
--------
- dataset : Pandas Dataframe
Dataset containing features AND labels
- label : String
Column name of label
- Model name : String
- Method name : String ['all', 'grid', 'random', 'bayesian-gp','bayesian-tpe']
- Time taken?
Returns
--------
Sklearn model of type `Model name`
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