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Machine Learning
Dive into the world of machine learning on the Databricks platform. Explore discussions on algorithms, model training, deployment, and more. Connect with ML enthusiasts and experts.
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Forum Posts

eshaanpathak
by New Contributor III
  • 3619 Views
  • 2 replies
  • 4 kudos

AttributeError: 'NoneType' object has no attribute 'enum_types_by_name'

I run into this error while using MLFlow: AttributeError: 'NoneType' object has no attribute 'enum_types_by_name'Here is the relevant stack trace:/local_disk0/.ephemeral_nfs/cluster_libraries/python/lib/python3.9/site-packages/mlflow/tracking/fluent....

  • 3619 Views
  • 2 replies
  • 4 kudos
Latest Reply
Debayan
Databricks Employee
  • 4 kudos

Hi, Could you please refer to this to check if this is an issue: https://github.com/protocolbuffers/protobuf/issues/10151, Also, could you please let us know the DBR version you are using?

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565050
by New Contributor
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  • 2 replies
  • 0 kudos

Can't overwrite to S3 object

We are trying to write the data frame to s3 using: df.write.mode('overwrite').save("s3://BUCKET-NAME/temp"), but recently we are getting the following error: 'com.amazonaws.services.s3.model.MultiObjectDeleteException: One or more objects could not ...

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  • 2 replies
  • 0 kudos
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Vidula
Honored Contributor
  • 0 kudos

Hi @Mayank Kasturia​ Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.Th...

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Somi
by New Contributor III
  • 6657 Views
  • 10 replies
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Resolved! How to set sparkTrials? I am receiving this TypeError: cannot pickle '_thread.lock' object

I am trying to distribute hyperparameter tuning using hyperopt on a tensorflow.keras model. I am using sparkTrials in my fmin:spark_trials = SparkTrials(parallelism=4)...best_hyperparam = fmin(fn=CNN_HOF,                  space=space,                ...

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  • 10 replies
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Dooley
Valued Contributor II
  • 0 kudos

This can happen when you try to serialize a keras model with an unserializable layer. What does your model look like? Also what is in that search space variable? What are you trying to optimize on?

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