mlflow-tracing - v0.1.0-rc.0
    Preparing search index...

    Class MlflowClient

    Client for MLflow tracing operations

    Index

    Constructors

    • Parameters

      • options: { databricksToken?: string; host: string; trackingUri: string }

      Returns MlflowClient

    Methods

    • Create a new experiment

      Parameters

      • name: string
      • OptionalartifactLocation: string
      • Optionaltags: Record<string, string>

      Returns Promise<string>

    • Create a new TraceInfo record in the backend store. Corresponding to the Python SDK's start_trace_v3() method.

      Note: the backend API is named as "Start" due to unfortunate miscommunication. The API is indeed called at the "end" of a trace, not the "start".

      Parameters

      Returns Promise<TraceInfo>

    • Delete an experiment

      Parameters

      • experimentId: string

      Returns Promise<void>

    • Get a single trace by ID Fetches both trace info and trace data from backend Corresponds to Python: client.get_trace()

      Parameters

      • traceId: string

      Returns Promise<Trace>

    • Get trace info using V3 API Endpoint: GET /api/3.0/mlflow/traces/{trace_id}

      Parameters

      • traceId: string

      Returns Promise<TraceInfo>