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()

Changing Base URL

You can change the base URL as such:

client.base_url = "https://.../latest"

You can also update the ingest base URL:

client.ingest_base_url = "https://.../latest

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-0.26.1.2022.1.6.12.8.36.688322.tar.gz.

File metadata

  • Download URL: RelevanceAI-dev-0.26.1.2022.1.6.12.8.36.688322.tar.gz
  • Upload date:
  • Size: 72.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for RelevanceAI-dev-0.26.1.2022.1.6.12.8.36.688322.tar.gz
Algorithm Hash digest
SHA256 fb1b541d27e7d67d51aa82264475fabafa4fa2c7f33a2dd33e3d3ffe38fe2b42
MD5 1b1cf2bd5d6e79dbb60d4e9d3eaac649
BLAKE2b-256 0673bc11dcf591d8ab3ea1056c7063fe3085d020ec3cc0b6c11038a6f9d035af

See more details on using hashes here.

File details

Details for the file RelevanceAI_dev-0.26.1.2022.1.6.12.8.36.688322-py3-none-any.whl.

File metadata

File hashes

Hashes for RelevanceAI_dev-0.26.1.2022.1.6.12.8.36.688322-py3-none-any.whl
Algorithm Hash digest
SHA256 0f42472721bc7c42fedb8e5ea0be2c6a867a139d6a3cc3e6cd9dbd7683c13e7e
MD5 8342cab0b598b403b118791d371116d8
BLAKE2b-256 9da11a7bac9f02b56fca2c558712555a1ce7094e0f8c93586e6ae9f6a80edde0

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