fraud 0.1.0

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fraud

Pronunciation: /frɔːd/ (FRAWD)

Simplified Synthetic Data

fraud is a python package designed to streamline synthetic data for finetuning machine learning models.

When finetuning for a domain specific task (i.e. extracting medical using NER), data scarcity can quickly become a limiting factor. Data annotation is the ideal solution; however it is often expensive, time-consuming, and resource-intensive.

Synthetic data offers an effective middle ground, enabling models to significantly enhance their performance by supplementing smaller datasets.

Usage

Here's a basic example to get you started.

import fraud as fr

synthetic_samples = fr.make_fake('Could you please meet {name} at {time}', 20)