5
questions
0
votes
1
answer
60
views
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 ...
- 428
0
votes
1
answer
255
views
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'])
...
- 16.5k
1
vote
1
answer
435
views
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 ...
- 389
2
votes
1
answer
457
views
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 ...
- 109
9
votes
2
answers
553
views
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 ...
- 12.6k