No project description provided
Project description
RelevanceAI
For guides, tutorials on how to use this package, visit https://docs.relevance.ai/docs.
If you are looking for an SDK reference, you can find that here.
Built mainly for users looking to experiment with vectors/embeddings.
Installation
The easiest way is to install this package is to run pip install --upgrade relevanceai
.
How to use the RelevanceAI client
For the relevanceai client, we want to ensure the SDK mirrors the API client.
For example:
## To instantiate the client
from relevanceai import Client
client = Client()
Development
Getting Started
To get started with development, ensure you have pytest
and mypy
installed. These will help ensure typechecking and testing.
python -m pip install pytest mypy
Then run testing using:
Make sure to set your test credentials!
export TEST_PROJECT = xxx
export TEST_API_KEY = xxx
python -m pytest
mypy relevanceai
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for RelevanceAI-dev-0.18.6.2021.12.2.23.37.45.441419.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | abe247d26ee4a1987ab21db98b1b5494bfc502aa8b7465632528bfaa29a0b0de |
|
MD5 | 2ac4b9a9f480e7c5aea42fab5bfcdd2d |
|
BLAKE2b-256 | 71644b86555a490305e40d4be80c6cee92567aa1191710485f5067ccaa2c5473 |
Close
Hashes for RelevanceAI_dev-0.18.6.2021.12.2.23.37.45.441419-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7b29157d6dac864109453832ec12c6ec18446398e1b0135630df9c0506fd751b |
|
MD5 | b233df22885d40c4cfa80c88380061e7 |
|
BLAKE2b-256 | 6dcd084a38fb3d6387f4f91fde7540f63dfd8c83d5136249b52d2b7a8a4ed16c |