Usage

The main functionality of Ambrosia is contained in several core classes and methods, which are autonomic for each stage of an experiment and have very intuitive interface.

Below is a brief overview example of using a set of three classes to conduct some simple experiment.

Designer

from ambrosia.designer import Designer
designer = Designer(dataframe=df, effects=1.2, metrics='portfel_clc') # 20% effect, and loaded data frame df
designer.run('size')

Splitter

from ambrosia.splitter import Splitter
splitter = Splitter(dataframe=df, id_column='id') # loaded data frame df with column with id - 'id'
splitter.run(groups_size=500, method='simple')

Tester

from ambrosia.tester import Tester
tester = Tester(dataframe=df, column_groups='group') # loaded data frame df with groups info 'group'
tester.run(metrics='retention', method='theory', criterion='ttest')

Explore further

To better understand how to use Ambrosia in your project and dive into the functionality of the library, check out the Core Functionality and Usage Examples sections of this documentation.