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-0.24.5.2021.12.23.2.12.40.695078.tar.gz.

File metadata

  • Download URL: RelevanceAI-dev-0.24.5.2021.12.23.2.12.40.695078.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-0.24.5.2021.12.23.2.12.40.695078.tar.gz
Algorithm Hash digest
SHA256 6769b53024064420863fb98bbad8343b8e3b207dd8d3199b5ef93dbb104e6b00
MD5 ea8ab8f408ea5194c777d7ca0a9e025f
BLAKE2b-256 ec425b987f5a211b5e2870a4aa23a82d409590763938bc94b086f80e0cd54e5b

See more details on using hashes here.

File details

Details for the file RelevanceAI_dev-0.24.5.2021.12.23.2.12.40.695078-py3-none-any.whl.

File metadata

File hashes

Hashes for RelevanceAI_dev-0.24.5.2021.12.23.2.12.40.695078-py3-none-any.whl
Algorithm Hash digest
SHA256 9224b874c8890829b857a8ea8909c6d19f097d7551d8c396cb1e9c7a0a59664b
MD5 0bbcf9fd3846b1bcadd0093e906a9a5f
BLAKE2b-256 57e0b988ac7b33a5bdaecc17eb580863a518206d5340e798d9ab605dedc26e3a

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