alchemy-catalyst 20.3

Alchemy. Experiments logging & visualization.

Experiments logging & visualization

Part of Catalyst Ecosystem. Project manifest.

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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.