Trail
Trail brings more transparency to your ML experiments. Start by using MLflow to track experiments and follow the steps below.
Installation
Install Trail from PyPI via pip install trailml
Get started
import mlflow
from trail import Trail
with mlflow.start_run() as run:
with Trail():
...your training code...
User configuration
Primary path: trailconfig.yml
Secondary path: ~/.config/trail.yml
username: <YOUR_USERNAME>
password: <YOUR_PASSWORD>
projects:
id: 1234ABC
parentExperimentId: ABCD123
Required options:
- username
- password
Project-specific options are required if not overwritten at runtime.
If the project is started with missing configuration file, you will be guided through configuration file creation process. If you want to change your configuration file after initial creation, scripts/create_config can be run to edit the configuration file via command line.
Metadata
Release files for trailml 1.2.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| trailml-1.2.3.tar.gz | 19.3 kB | Without provenance | Details for trailml-1.2.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| trailml-1.2.3-py3-none-any.whl | Python 3 | none | any | Details for trailml-1.2.3-py3-none-any.whl |
Total release size: 43.6 kB
Release files / trailml-1.2.3.tar.gz
| Download URL | trailml-1.2.3.tar.gz |
|---|---|
| Size | 19.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Release files / trailml-1.2.3-py3-none-any.whl
| Download URL | trailml-1.2.3-py3-none-any.whl |
|---|---|
| Size | 24.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d4a6f9558a104b6b7951b04cc4cd75df670ce9d0c3279ab346269b4f96cbaebf
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Security for trailml 1.2.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
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