mlsolid-py is a python client for mlsolid MLOps platform.
This python SDK allows you to track experiments and save artifacts to the mlsolid server.
mlsolid provides an easy way to track your experiment runs:
from mlsolidpy.mlsolid import Mlsolid
client = Mlsolid('localhost:5000')
print('Experiments', client.experiments)
print('Run ', client.run("urbane-wagon"))
with client.start_run('my_experiment') as run:
run.log({'checkpoint': "path/to/checkpoint"})
run.log({'batch-size': 23})
run.log({'mae': 0.2333, 'loss': 100.0})
run.log({'mae': 0.2000, 'loss': 90})
run.log({'mae': 0.1134, 'loss': 10})
run.log({'metrics': [0.2000, 0.333, 0.2223]})