mirror of
https://github.com/hwchase17/langchain
synced 2024-10-31 15:20:26 +00:00
24 lines
718 B
Markdown
24 lines
718 B
Markdown
|
# scikit-learn
|
||
|
|
|
||
|
|
This page covers how to use the scikit-learn package within LangChain.
|
||
|
|
It is broken into two parts: installation and setup, and then references to specific scikit-learn wrappers.
|
||
|
|
|
||
|
|
## Installation and Setup
|
||
|
|
|
||
|
|
- Install the Python package with `pip install scikit-learn`
|
||
|
|
|
||
|
|
## Wrappers
|
||
|
|
|
||
|
|
### VectorStore
|
||
|
|
|
||
|
|
`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:
|
||
|
|
|
||
|
|
```python
|
||
|
|
from langchain.vectorstores import SKLearnVectorStore
|
||
|
|
```
|
||
|
|
|
||
|
|
For a more detailed walkthrough of the SKLearnVectorStore wrapper, see [this notebook](../modules/indexes/vectorstores/examples/sklearn.ipynb).
|