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: 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()
1 maintainer
Metadata
1 maintainer
Release files for RelevanceAI-dev 0.23.4.2021.12.20.10.40.27.899165
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| RelevanceAI-dev-0.23.4.2021.12.20.10.40.27.899165.tar.gz | 64.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| RelevanceAI_dev-0.23.4.2021.12.20.10.40.27.899165-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 149.4 kB
Release files / RelevanceAI-dev-0.23.4.2021.12.20.10.40.27.899165.tar.gz
| Download URL | RelevanceAI-dev-0.23.4.2021.12.20.10.40.27.899165.tar.gz |
|---|---|
| Size | 64.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
888f0a0a82b91536ba9d69167133e22f258fea3c94d65f23af5641a44a4a0f6a
|
|
BLAKE2b-256 checksum How to use checksums |
f5c917de89e6c927ca93520a0548008e1972120773e8108f48c2e80fd1ea4177
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is 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
|
Release files / RelevanceAI_dev-0.23.4.2021.12.20.10.40.27.899165-py3-none-any.whl
| Download URL | RelevanceAI_dev-0.23.4.2021.12.20.10.40.27.899165-py3-none-any.whl |
|---|---|
| Size | 85.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c28d86a7611a777c4c994e56c665af9f695d7eeed8aea1af3cc55d9184981f81
|
|
BLAKE2b-256 checksum How to use checksums |
8fd59661e3290124443986166f9eae3bea01c39ce19e3506d51ad820c1e7adba
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is 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
|
