A local, zero-config ML experiment tracker
Project description
mtrick: Metrics Tracker
A local simple ML experiment tracker with zero configurations required.
Installation
uv add mtrick
or
pip install mtrick
If you want the latest version
uv add git+https://github.com/AvikArefin/mtrick.git
or
pip install git+https://github.com/AvikArefin/mtrick.git
Usage
Code:
from mtrick import Tracker
t = Tracker("exp")
t.log({"loss": 0.1}, epoch=1)
Group with /:
t.log({"loss/train": 0.1, "loss/val": 0.2}, epoch=1)
Confusion Matrix:
t.log_confusion_matrix([[9, 1], [2, 8]], ["Cat", "Dog"])
Real vs Pred:
t.log_trajectory([[1.0, 2.0]], [[1.1, 1.9]])
UI:
uv run mtrick
Changelog
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mtrick-0.2.0.tar.gz
(13.9 kB
view details)
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
mtrick-0.2.0-py3-none-any.whl
(15.6 kB
view details)
File details
Details for the file mtrick-0.2.0.tar.gz.
File metadata
- Download URL: mtrick-0.2.0.tar.gz
- Upload date:
- Size: 13.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.4 {"installer":{"name":"uv","version":"0.10.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5bc2a99bd4bd71a69a95282960723382019cacdc33ee83483edcacf4c014e355
|
|
| MD5 |
cfc76f1325f016e29356aacc18a57642
|
|
| BLAKE2b-256 |
749f4e7b156641ef001c0ba1feecea67684076bd5147d4284e0651360f14b6f4
|
File details
Details for the file mtrick-0.2.0-py3-none-any.whl.
File metadata
- Download URL: mtrick-0.2.0-py3-none-any.whl
- Upload date:
- Size: 15.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.10.4 {"installer":{"name":"uv","version":"0.10.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a8ba048fc9860bcaaf11324a7240e3e2108e9ce8b2fe3c5b85d25a8879679d96
|
|
| MD5 |
e442c077fae87f77126deafdd257e6dc
|
|
| BLAKE2b-256 |
91c2844d4c68948f156b85c498677f86fe660c9a368064a8513aad80e3b5ea6e
|