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Alchemy. Experiments logging & visualization.

Project description

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Experiments logging & visualization

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Part of Catalyst Ecosystem. Project manifest.


Installation

Common installation:

pip install -U alchemy-catalyst

Getting started

  1. Goto Alchemy and get your personal token.

  2. Run following example.py:

    import random
    
    from alchemy import Logger
    
    # insert your personal token here
    token = "..."
    project = "default"
    
    for gid in range(1):
        group = f"group_{gid}"
        for eid in range(2):
            experiment = f"experiment_{eid}"
            logger = Logger(
                token=token,
                experiment=experiment,
                group=group,
                project=project,
            )
            for mid in range(4):
                metric = f"metric_{mid}"
                # let's sample some random data
                n = 300
                x = random.randint(-10, 10)
                for i in range(n):
                    logger.log_scalar(metric, x)
                    x += random.randint(-1, 1)
            logger.close()
    
  3. Now you should see your metrics on Alchemy.

Catalyst.Ecosystem

  1. Goto Alchemy and get your personal token.

  2. Log your Catalyst experiment with AlchemyRunner:

    from catalyst.dl import SupervisedAlchemyRunner
    runner = SupervisedAlchemyRunner()
    
    runner.train(
        model=model,
        criterion=criterion,
        optimizer=optimizer,
        loaders=loaders,
        logdir=logdir,
        num_epochs=num_epochs,
        verbose=True,
        monitoring_params={
            "token": "...",  # insert your personal token here
            "project": "default",
            "experiment": "your_experiment_name",
            "group": "your_experiment_group_name",
        }
    )
    
  3. Now you should see your metrics on Alchemy.

Examples

For mode detailed tutorials, please follow Catalyst examples.

Project details


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