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Swarmauri Embedding Nmf

A Non-negative Matrix Factorization (NMF) based embedding implementation for text data processing in the Swarmauri ecosystem.

Installation

pip install swarmauri_embedding_nmf

Usage

Here's a basic example of how to use the NMF Embedding:

from swarmauri.embeddings.NmfEmbedding import NmfEmbedding

# Initialize the embedder
embedder = NmfEmbedding(n_components=10)

# Example documents
documents = ["This is the first document", "This is the second document", "And this is the third one"]

# Fit and transform the documents
vectors = embedder.fit_transform(documents)

# Transform a new document
new_vector = embedder.infer_vector("This is a new document")

Want to help?

If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.

Metadata

Release files for swarmauri_embedding_nmf 0.7.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for swarmauri_embedding_nmf 0.7.5
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swarmauri_embedding_nmf-0.7.5.tar.gz 7.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for swarmauri_embedding_nmf 0.7.5
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swarmauri_embedding_nmf-0.7.5-py3-none-any.whl Python 3 none any Details

Total release size: 15.1 kB

Release files / swarmauri_embedding_nmf-0.7.5.tar.gz

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0.7.5 This release

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