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NMF Embedding for Swarmauri.

Project description

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NMF Embedding Package

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")

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