Description:
alchemycatalyst 20.3
Experiments logging & visualization
Part of Catalyst Ecosystem. Project manifest.
Installation
Common installation:
pip install -U alchemy-catalyst
Getting started
Goto Alchemy and get your personal token.
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()
Now you should see your metrics on Alchemy.
Catalyst.Ecosystem
Goto Alchemy and get your personal token.
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",
}
)
Now you should see your metrics on Alchemy.
Examples
For mode detailed tutorials, please follow Catalyst examples.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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