I got error in inference pipeline in Azure machine Learning notebook

Tunahan DENİZ 1 Reputation point
2021-06-02T07:41:01.983+00:00

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ı am learning machine learning on microsoft learn and ı have problem with inference pipeline
inference-pipeline

Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
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  1. Ramr-msft 17,611 Reputation points
    2021-06-02T12:49:25.843+00:00

    @Tunahan DENİZ Thanks for the question. Can you please add more details steps that you performed. If you have changed the schema of the incoming data to exclude the price field, you must remove any explicit use of this field in other modules.

    Please follow the document to create a real-time inference pipeline.
    https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-designer-automobile-price-deploy#create-a-real-time-inference-pipeline-1

    We are able to create inference pipeline without any errors as shown below.
    101618-image.png

    1 person found this answer helpful.

  2. MikeRichardson-3493 161 Reputation points
    2021-07-21T01:43:01.617+00:00

    you can try keeping "price" column in the dataset in the first Box,
    Enter Data manually: price,column2,col3,....col10
    Select Columns in Dataset: price,column2,col3,....col9 (choose which columns to import, omit col10 for example) Though the learning path says to remove price column, try keeping it in.
    And you may be interested in Edit Metadata asset box. It allows your model to import the columns and associate the features with the predicted price. So instead of just seeing a predicted price, you can output, what you fed the model. Overall, did you get it to work by starting over? That learning Path worked for me when I followed all steps. maybe these extra ideas will help.116571-azmlpricecolumn1.png

    116563-azmlpricecolumn2.png

    116572-azmlpricecolumn3.png

    116483-azmlpricecolumn4.png

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  3. Kevin HAMON 1 Reputation point
    2023-01-10T21:47:13.707+00:00

    Same issue for me. The workaround to add a fake "price" column to the manual raw data was the easiest solution to get the pipeline to work.

    The "Apply Transformation" step is expecting the price so removing the price in the "select step" doesn't work.

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