Questions tagged [mlmd]

ML Metadata (MLMD) is a library developed by Google for recording and retrieving metadata associated with ML developer and data scientist workflows. MLMD is an integral part of TensorFlow Extended (TFX).

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Data stored in MLMD in TensorFlow TFX

As far as I understand, TensorFlow uses MLMD to record and retrieve metadata associated with workflows. This may include: results of pipeline components metadata about artifacts generated through the components of the pipelines metadata about…
Josh
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ml_metadata.errors.AlreadyExistsError: Given node already exists

I ran into a problem using TFX, MLMD, and Apache-Airflow as the orchestrator. Local-dag-runner, provided by TFX, works fine, resulting in distinct artifacts for each pipeline component run. The problem arises when airflow is used as the…
Parham Davari
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Dependencies issue while installing model card toolkit

Model Card --> Model Card toolkit I want to install a model card toolkit in my python virtual environment through this command: pip install model-card-toolkit and I am facing this below issue, I have tried many times with different combinations…
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Tensorflow: How to add a property in execution object in MLMD MetadataStore?

I'm using the MLMD MetadataStore to manage the data pipelines and I need to add an execution property in MLMD to get this property later. I'm trying add with this: from ml_metadata.proto import metadata_store_pb2 from ml_metadata.metadata_store…
natielle
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How to start MLMD gRPC server?

I am doing a POC with the MLMD library. I want to expose a grpc/REST service on the MLMD schemas. I am referring this official guide. https://www.tensorflow.org/tfx/guide/mlmd#use_mlmd_with_a_remote_grpc_server But I couldn't start the server the…
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How to get the uri of the current pipeline's artifact

Consider the following pipeline: example_gen = tfx.components.ImportExampleGen(input_base=_dataset_folder) statistics_gen = tfx.components.StatisticsGen(examples=example_gen.outputs['examples']) schema_gen = tfx.components.SchemaGen( …
Mehran
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