Alchemy. Experiments logging & visualization.
Project description
Part of Catalyst Ecosystem. Project manifest.
Installation
Common installation:
pip install -U alchemy-catalyst
Getting started
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Goto Alchemy and get your personal token.
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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()
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Now you should see your metrics on Alchemy.
Catalyst.Ecosystem
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Goto Alchemy and get your personal token.
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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", } )
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Now you should see your metrics on Alchemy.
Examples
For mode detailed tutorials, please follow Catalyst examples.
Project details
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