Machine Learning Toolbox
Project description
Machine Learning Toolbox 2 - MLTB2 - Sphinx DOC
📦 A box of machine learning tools. 📦
Main Components
from mltb2.somajo import SoMaJoSentenceSplitter
Split texts into sentences. For German and English language.
This is done with the SoMaJo tool.
from mltb2.somajo import JaccardSimilarity
Calculate the jaccard similarity.
from mltb2.transformers import TransformersTokenCounter
Count tokens made by a Transformers tokenizer.
from mltb2.somajo_transformers import TextSplitter
Split the text into sections with a specified maximum token length.
Does not divide words, but always whole sentences.
from mltb2.optuna import SignificanceRepeatedTrainingPruner
An Optuna pruner
to use statistical significance (a t-test which serves as a heuristic) to stop
unpromising trials early, avoiding unnecessary repeated training during cross validation.
Furthermore, there is a
detailed description and an example of use.
Installation
MLTB2 is available at the Python Package Index (PyPI). It can be installed with pip:
pip install mltb2
Some optional dependencies might be necessary. You can install all of them with:
pip install mltb2[optional]
Licensing
Copyright (c) 2023 Philip May
Copyright (c) 2023 Philip May, Deutsche Telekom AG
Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License by reviewing the file LICENSE in the repository.
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