Skip to main content

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 data scientists/engineers looking to experiment with vectors/embeddings.

Installation

The easiest way is to install this package is to run pip install --upgrade relevanceai.

You can also install on conda (only available on Linux environments at the moment): conda install -c relevance relevanceai.

How to use the RelevanceAI 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

Config

The config contains the adjustable global settings for the SDK. For a description of all the settings, see here.

To view setting options, run the following:

client.config.options

The syntax for selecting an option is section.key. For example, to disable logging, run the following to modify logging.enable_logging:

client.config.set_option('logging.enable_logging', False)

To restore all options to their default, run the following:

client.config.reset_to_default()

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

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file RelevanceAI-dev-0.24.1.2021.12.22.6.47.37.898495.tar.gz.

File metadata

  • Download URL: RelevanceAI-dev-0.24.1.2021.12.22.6.47.37.898495.tar.gz
  • Upload date:
  • Size: 64.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for RelevanceAI-dev-0.24.1.2021.12.22.6.47.37.898495.tar.gz
Algorithm Hash digest
SHA256 39f3768f904941639a7a0240489b99d41700042511c7e0eb76798761dfaf406e
MD5 1053727d6ea3086d9139b3f2aaf0ee98
BLAKE2b-256 bac37e8f74df6005f75c62934d1e85732f1822d4ab918b3c14c6717dba2c7f5e

See more details on using hashes here.

File details

Details for the file RelevanceAI_dev-0.24.1.2021.12.22.6.47.37.898495-py3-none-any.whl.

File metadata

File hashes

Hashes for RelevanceAI_dev-0.24.1.2021.12.22.6.47.37.898495-py3-none-any.whl
Algorithm Hash digest
SHA256 e0beaecedfcb139a7756c35ff14d35327df18c52748d4b1cb97b33754a397b62
MD5 4b2f300053fc155ce65019cbd859989f
BLAKE2b-256 238652e4ed04caac65b8b66cacbe5f32fd92b3e935fa0ddd964f96f4cc0db9b5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page