xpflow

library0.8pypypi✓ verified 80d ago

A lightweight Python library for representing and managing machine learning experiments with class-based definitions. Current version 0.8, updated infrequently.

ai-ml workflow

pip install xpflow

github ↗package ↗

INSTALL

IMPORT

SIG · XPFLOW

xpflow

ai-mlpythonv0.8

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

✓ from xpflow import Xp

✗ from xpflow import Experiment

Xpl

✓ from xpflow import Xpl

Catch

✓ from xpflow import Catch

Define an experiment as a class inheriting from Experiment, then call run() to execute.

from xpflow import Experiment, Xp, run class MyExperiment(Experiment): hyperparam1: int = 10 hyperparam2: str = "default" def run(self): return self.hyperparam1 * len(self.hyperparam2) if __name__ == "__main__": xp = MyExperiment() result = run(xp) print(result)

Debug

Known issues

gotchaExperiment class attributes must be type-annotated; untyped attributes may be ignored or cause errors.

fix

Always annotate fields with types (e.g., int, str, float).

affects: >=0.3

gotchaThe run() function expects an instance of Experiment, not a class. Passing the class itself will raise an AttributeError.

fix

Instantiate the experiment class before passing to run: run(MyExperiment())

affects: >=0.3

deprecatedThe 'sequential' decorator introduced in v0.3 was removed in v0.8. Code using it will break.

fix

Remove @sequential decorator; use class-based inheritance instead.

affects: 0.3 to 0.7

Upgrade

Version history

0.8latest on PyPI · released Feb 3, 2023

Audit

Dependencies

No dependency data recorded yet.

Agent activity

57 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/sileod/xpflow ↗

packagehttps://pypi.org/project/xpflow/ ↗