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 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 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-0.21.1.2021.12.12.13.55.43.239978.tar.gz.

File metadata

  • Download URL: RelevanceAI-dev-0.21.1.2021.12.12.13.55.43.239978.tar.gz
  • Upload date:
  • Size: 57.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.0

File hashes

Hashes for RelevanceAI-dev-0.21.1.2021.12.12.13.55.43.239978.tar.gz
Algorithm Hash digest
SHA256 8f1c58a79d25ce437e12b0b34a95651bb12252920ad96b72d58f3174cc8a1323
MD5 d29c49e86c843db01af9f13eaa8b09d3
BLAKE2b-256 f14a350f183dc2675f3da9b929358af25a1a2ec246eed1f145f7a843fee194d5

See more details on using hashes here.

File details

Details for the file RelevanceAI_dev-0.21.1.2021.12.12.13.55.43.239978-py3-none-any.whl.

File metadata

File hashes

Hashes for RelevanceAI_dev-0.21.1.2021.12.12.13.55.43.239978-py3-none-any.whl
Algorithm Hash digest
SHA256 526556377b2c2e47ae6be5b0fb7168fc85af944a180c97b3afc695019d7f2904
MD5 564acabccf59ac68b16d0aa7851e29dd
BLAKE2b-256 7f88de646a7de49e32b249e68e85b1034b9f7ce6bda52017d057ce6d5b687bda

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