Python client for the Hectiq Lab plateform.
Project description
Hectiq Lab
Hectiq Lab is a platform to track your machine learning experiments.
- ⚡️ Fast and easy: Designed with performance in mind, Hectiq Lab is fast and easy to use.
- 🖥 Full API: Supports the full API of the Hectiq Lab package.
- 🚀 Boosted with commands: Almost all methods are availabe from the CLI, or in python using a functional or object-oriented API.
Links to:
Installation
pip install pyhectiqlab
Then, you'll be able to use the CLI
hectiq-lab --help
Or the Python package
import pyhectiqlab
Quickstart
Usage of hectiq-lab is on invitation only. To get access, please contact us at hectiq.ai.
Start by authenticating with the CLI.
hectiq-lab authenticate
Then, you can start tracking your experiments.
from pyhectiqlab import Run
import pyhectiqlab.functional as hl
with Run(title="My first run", project="hectiq-ai/demo"):
hl.add_artifact("my-image.png")
Project details
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file pyhectiqlab-3.1.15.tar.gz.
File metadata
- Download URL: pyhectiqlab-3.1.15.tar.gz
- Upload date:
- Size: 41.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
affa8c13be6a3bdf93312ddf0a64edc96d7c161541ea0a2b46ce20ce4b4ca4bb
|
|
| MD5 |
aff42352c28d2b56aac41d4537cfc003
|
|
| BLAKE2b-256 |
c1fc35e2774a4f81dbe849a52a1880d1f9b0a3e6e1a69847ab93b5d4f5820c6d
|
File details
Details for the file pyhectiqlab-3.1.15-py3-none-any.whl.
File metadata
- Download URL: pyhectiqlab-3.1.15-py3-none-any.whl
- Upload date:
- Size: 49.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cc4e715b49a4bf627c78eac2104a37065b26fc21400a99cee17b1ccbdc234581
|
|
| MD5 |
39a5d41a8539164e43e164070cb74a03
|
|
| BLAKE2b-256 |
35778b56b62954d786a13be4c5331fd3b92b25edd99053a9b12ea2aa31418323
|