auto-machine-learning 0.0.3

This is an python Library for AutoML which works for prediction and classification tasks.

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`