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Score of 0
0 answers
28 views

I’m trying to run a simple custom TFX component using the Kubeflow Runner on GCP Vertex AI. I’ve defined the component in two ways: Using the @component decorator, and as a fully custom component (...
Score of 1
0 answers
51 views

i am using the evaluator component after a trainer component in a tfx pipeline to predict fares from the chicago taxi trips data. in the evaluator component, after the predictions are made, the "...
Score of 0
1 answer
438 views

This question is about writing custom pipeline task for Azure DevOps Server (On Premises) (Add a custom pipelines task extension). I wrote my task with PowerShell and installed it and it's working ...
Score of 0
1 answer
100 views

The schema generated by SchemaGen, modified by domain experts, captures the expected input data. Vertex AI allows for models trained by TFX to be pushed to endpoints. How does one get the schema ...
Score of 2
1 answer
117 views

The following code simulates a simple TFX pipeline ingesting a CSV file and converting it to TFRecord. You can also see the corresponding notebook: https://colab.research.google.com/drive/...
Score of 2
2 answers
5562 views

I encountered the error ResolutionTooDeep: 200000 when attempting to install TensorFlow Extended (TFX) on Ubuntu 22.04 using the command pip install tfx Error Picture Install tfx I tried installing ...
Score of 0
1 answer
28 views

I updated the tfx from 0.22.0 to 1.8.0 and now I'm getting this error: AttributeError: module 'tfx.utils.io_utils' has no attribute 'file_io' The code is: from tfx.utils import io_utils io_utils....
Score of 0
1 answer
64 views

I would like to run one optional custom component with TFX and Airflow. Is it possible? This optional component is used to send updates to another system, if this optional component fails, it will not ...
Score of 0
1 answer
77 views

I am trying my way at TensorFlow's TFX. I have a CSV that contains the pipe symbol (|) as a field separator instead of the default comma. How can I specify this when using the CsvExampleGen component? ...
Score of 0
1 answer
63 views

As far as I understand, we need to supply the Trainer component training examples directly (with the "examples" parameter) from the output of an ExampleGen or a Transform component, but at ...
Score of 0
1 answer
192 views

I am using tfx pipeline for training and evaluating an autoencoder. The data that I have is basically 5 arrays of size (15,1) that I concatenate and put together and pass to the model. In order to ...
Score of 0
1 answer
99 views

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 ...
Score of 0
1 answer
135 views

I was just wondering why tensorflow/tfx image is 8Gb while gpu tensorflow/tensorflow image is less than 3gB? At runtime, I expect tfx container to just load input artifacts, run some tensorflow code ...
Score of 0
1 answer
86 views

I'm running a simple penguin pipeline in interactive mode with a split train/eval, the transform step run but i can't get post_transform_statistics artifacts. Inside the dedicated artifacts folder /...
Score of 1
1 answer
89 views

I am interested in what tfma.metrics.MeanLabe does, and how it should be used, and what the difference is between tfma.metrics.MeanLabe and tfma.metrics.MeanPredictio and tfma.metrics.MeanAttributions....

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