Data Loader¶

To test Shapash library, it provides a data_loader function which returns clearly labeled datasets. These datasets allow any new user to easily test the shapash library on a classification or regression problem

Data loader module

shapash.data.data_loader.data_loading(dataset)[source]¶

data_loading allows shapash user to try the library with small but clear datasets. Titanic, house_prices or telco_customer_churn data.

Example

>>> from shapash.data.data_loader import data_loading
>>> house_df, house_dict = data_loading('house_prices')

Parameters

dataset (String) –

Dataset’s name to return.

’titanic’
’house_prices’
’telco_customer_churn’

Returns

data (pandas.DataFrame) – Dataset required
dict ((Dictionnary, Optional)) – If exist, columns labels dictionnary associated to the dataset.