TrueFoundry SDK
TrueFoundry ML Client
TrueFoundry ML client reference for tracking experiments, logging artifacts, and managing models programmatically.
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TrueFoundry ML client reference for tracking experiments, logging artifacts, and managing models programmatically.
pip install truefoundry
from truefoundry.ml import get_client
# Initialize the client
client = get_client()
# Create a run
run = client.create_run(
ml_repo="my-classification-project",
run_name="svm-with-rbf-kernel"
)
# Log metrics and parameters
run.log_metrics({"accuracy": 0.95, "loss": 0.1})
run.log_params({"learning_rate": 0.01, "epochs": 100})
# End the run
run.end()
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