Alchemy. Experiments logging & visualization.
Project description
Part of Catalyst Ecosystem. Project manifest.
Installation
Common installation:
pip install -U alchemy-catalyst
Getting started
-
Goto Alchemy and get your personal token.
-
Run following example.py:
import random from alchemy import Logger token = "..." # insert your personal token here for gid in range(1): for eid in range(2): for mid in range(3): metric = f"metric_{mid}" group = f"group_{gid}" experiment = f"experiment_{eid}" logger = Logger(token, experiment, group) n = 300 x = random.randint(-10, 10) for i in range(n): logger.log_scalar(metric, x) x += random.randint(-1, 1) logger.close()
-
Now you should see your metrics on Alchemy.
Example
For mode detailed tutorials, please follow Catalyst examples.
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
alchemy-catalyst-20.2.tar.gz
(4.2 kB
view hashes)
Built Distribution
Close
Hashes for alchemy_catalyst-20.2-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a26f05f2334cccf223a010756e047d089d2df86ae2f54df4a26fd1a06b817e4 |
|
MD5 | a2d0504cff8868f81e0578b5ce65d664 |
|
BLAKE2b-256 | 2a96f144a3172014aacc076977201d5ccdb4902e0b7ea580f97c3d1269c5182a |