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A simple way of integrating aim into MLOps frameworks.

Project description

aimrun

A simple interface for integrating aim into MLOps frameworks.

Installation

pip install aimrun

Features

  1. Multiple runs. Simply initialize multiple aimruns using aimrun.init(), and track on multiple repositories at once.
  2. No need of main-process wrapper. You do not need to make sure, that only the main-process calls aimrun functions, we take care of that for you.

Usage (Recommended)

  1. Initialize one or more aimruns using aimrun.init()
  2. Use aimrun.track() to track values. Parse a dictionary.
  3. Use aimrun.close() to finalize the experiments.

Example usage

import aimrun

# initalize 
aimrun.init(repo='aim://172.3.66.145:53800', experiment='my_experiment', description='description of run' args={"arg": 1}) # args=vars(args) if you use argsparse

# track 
aimrun.track({"value_0": A, "value_1": B})
# or 
aimrun.track(A, name="value_0")

# close 
aimrun.close() 

Drop-in replacement Wandb (Experimental)

We experimentally offer aimrun as a drop-in replacement for wandb, making a seamless integration in your framework.

  1. Replaceimport wandb with from aimrun import wandb
  2. Set default repository før init (fx lige efter import) wandb.set_default_repo('aim://172.3.66.145:53800')
  3. Supported functions .init(), .log(), .finit()

Project details


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