Skip to main content

scikit-learn

scikit-learn is an open-source collection of machine learning algorithms, including some implementations of the k nearest neighbors. SKLearnVectorStore wraps this implementation and adds the possibility to persist the vector store in json, bson (binary json) or Apache Parquet format.

Installation and Setup​

  • Install the Python package with pip install scikit-learn

Vector Store​

SKLearnVectorStore provides a simple wrapper around the nearest neighbor implementation in the scikit-learn package, allowing you to use it as a vectorstore.

To import this vectorstore:

from langchain_community.vectorstores import SKLearnVectorStore
API Reference:SKLearnVectorStore

For a more detailed walkthrough of the SKLearnVectorStore wrapper, see this notebook.

Retriever​

Support vector machines (SVMs) are the supervised learning methods used for classification, regression and outliers detection.

See a usage example.

from langchain_community.retrievers import SVMRetriever
API Reference:SVMRetriever

Was this page helpful?


You can also leave detailed feedback on GitHub.