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-0.25.0.2022.1.5.6.16.2.858828.tar.gz.

File metadata

  • Download URL: RelevanceAI-dev-0.25.0.2022.1.5.6.16.2.858828.tar.gz
  • Upload date:
  • Size: 69.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1

File hashes

Hashes for RelevanceAI-dev-0.25.0.2022.1.5.6.16.2.858828.tar.gz
Algorithm Hash digest
SHA256 8307c111acd0cf66c2f30e50c3c87f930b85925ab12ffb8623e73d73f3378342
MD5 226a44c1734d6279e4af36124c2480a5
BLAKE2b-256 a5d8ffea26fb0eaec79dc513b225efc3e0b27ff2bef37bf80eeab946daf21e27

See more details on using hashes here.

File details

Details for the file RelevanceAI_dev-0.25.0.2022.1.5.6.16.2.858828-py3-none-any.whl.

File metadata

File hashes

Hashes for RelevanceAI_dev-0.25.0.2022.1.5.6.16.2.858828-py3-none-any.whl
Algorithm Hash digest
SHA256 1b2e8ae8161eb80b592e515f9dab038783d968cef6349edf8e34e12b01a2f6b7
MD5 517a65dbc8ce065cc280b169e31ac520
BLAKE2b-256 d91439f3f79467912a7b5875279840625e16294aa2b47fdf34e7de25ea0dd8a4

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