Run

from truefoundry.ml import get_client

client = get_client()

client.end(
    status="value",
)

from truefoundry.ml import get_client

client = get_client()

client.delete(
)

from truefoundry.ml import get_client

client = get_client()

client.list_artifact_versions(
    artifact_type="value",
)

from truefoundry.ml import get_client

client = get_client()

client.list_model_versions(
)

from truefoundry.ml import get_client

client = get_client()

client.log_artifact(
    name="my-run",
    artifact_paths=[ArtifactPath("file.txt")],
    description="value",
    metadata="value",
    step="value",
    progress="value",
)

from truefoundry.ml import get_client

client = get_client()

client.log_metrics(
    metric_dict="value",
    step="value",
)

from truefoundry.ml import get_client

client = get_client()

client.log_params(
    param_dict="value",
    flatten_params="value",
)

from truefoundry.ml import get_client

client = get_client()

client.set_tags(
    tags={"key": "value"},
)

from truefoundry.ml import get_client

client = get_client()

client.get_tags(
    no_cache="value",
)

from truefoundry.ml import get_client

client = get_client()

client.get_metrics(
    metric_names="value",
)

from truefoundry.ml import get_client

client = get_client()

client.get_params(
    no_cache="value",
)

from truefoundry.ml import get_client

client = get_client()

client.log_model(
    name="my-run",
    model_file_or_folder="model.pkl",
    description="value",
    metadata="value",
    step="value",
    progress="value",
    framework="value",
    environment="value",
)

from truefoundry.ml import get_client

client = get_client()

client.log_images(
    images="value",
    step="value",
)

from truefoundry.ml import get_client

client = get_client()

client.log_plots(
    plots="value",
    step="value",
)