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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

TomasP
by New Contributor III
  • 2983 Views
  • 3 replies
  • 0 kudos

Two or more different ml model on one cluster.

Hi, have you already dealt with the situation that you would like to have two different ml models in one cluster? i.e: I have a project which contains two or more different models with more different pursposes. The goals is to have three differ...

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Latest Reply
Anonymous
Not applicable
  • 0 kudos

Hi @Tomas Peterek​ 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.Than...

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Developer35
by New Contributor III
  • 3952 Views
  • 4 replies
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Resolved! Certification badge not received

I have completed the Databricks certified Data Engineer Associate exam on 29th October, received a mail with score and it is mentioned in mail that I would receive badge within 24 hours. It has been 4 days since I completed the exam still certificate...

  • 3952 Views
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Anonymous
Not applicable
  • 3 kudos

Hi @Manasa Tanguturu​ Hope everything is going great.Just wanted to check in if you were able to resolve your issue.If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please visit th...

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eshaanpathak
by New Contributor III
  • 5631 Views
  • 2 replies
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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....

  • 5631 Views
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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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THIAM_HUATTAN
by Valued Contributor
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docs.azure.cn

https://docs.azure.cn/en-us/databricks/_static/notebooks/mlflow/mlflow-end-to-end-example-azure.htmlI imported the above notebook and try in Databricks community, but those subplots for Box plots are giving me errors as below:AttributeError ...

  • 1120 Views
  • 0 replies
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THIAM_HUATTAN
by Valued Contributor
  • 2033 Views
  • 2 replies
  • 1 kudos

medium.datadriveninvestor.com

say, I want to download 2 files from this directory (dbfs:/databricks-datasets/abc-quality/") to my local filesystem, how do I do it?I understand that if those files are inside FileStore directory, it is much straightforward, which someone posts some...

  • 2033 Views
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  • 1 kudos
Latest Reply
Pat
Esteemed Contributor
  • 1 kudos

Hi @THIAM HUAT TAN​ ,isn't this dbfs://databricks-datasets Databricks owned s3:// mounted to the workspace? You got an error - 403 access denied to PUT files into the s3 bucket: https://databricks-datasets-oregon.s3.us-west-2.amazonaws.com you shoul...

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brendanmckenna
by New Contributor III
  • 4439 Views
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Resolved! How to avoid an error when using the automl python api on a classification problem

I am working through a basic example to get familiar with databricks automl. When I run classify, I hit an mlflow error. How can I avoid this error? My code:summary = databricks.automl.classify(train_df, target_col='new_cases', data_dir='dbfs:/automl...

  • 4439 Views
  • 3 replies
  • 4 kudos
Latest Reply
brendanmckenna
New Contributor III
  • 4 kudos

I had (accidentally) manually installed a very early version of databricks automl. Once I upgraded the error resolved.

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Cirsa
by New Contributor II
  • 4374 Views
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Resolved! Problem creating FeatureStore

Hi,When trying to create the first table in the Feature Store i get a message: ''DataFrame' object has no attribute 'isEmpty'... but it is not. So I cannot use the function: feature_store.create_table()With this code you should be able to reproduce t...

  • 4374 Views
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  • 2 kudos
Latest Reply
Cirsa
New Contributor II
  • 2 kudos

@Hubert Dudek​Sry about the 'df_train', I forgot to change it (the error I commented is real with the proper DF). Changing the DBR to 11.3 LTS solved the problem. Thanks!

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cheng
by New Contributor
  • 1234 Views
  • 0 replies
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Prophet/PyStan compiling error in Runtime 10.4 LTS ML

We're upgrading our ML jobs from using Runtime 9.1 LTS ML to Runtime 10.4 LTS ML in Databricks. One of the libraries our jobs relying on is Prophet. From 9.1 to 10.4, both the versions of Prophet (1.0.1) and PyStan (2.19.1.1) haven't changed, however...

  • 1234 Views
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DavideCagnoni
by Contributor
  • 12439 Views
  • 7 replies
  • 7 kudos

Resolved! How to use python packages from `sys.path` ( in some sort of "edit-mode") which functions on workers too?

The help of `dbx sync` states that ```for the imports to work you need to update the Python path to include this target directory you're syncing to```This works quite well whenever the package is containing only driver-level functions. However, I ran...

  • 12439 Views
  • 7 replies
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Latest Reply
Scott_B
Databricks Employee
  • 7 kudos

Hi @Davide Cagnoni​. Please see my answer to this post https://community.databricks.com/s/question/0D53f00001mUyh2CAC/limitations-with-udfs-wrapping-modules-imported-via-repos-filesI will copy it here for you:If your notebook is in the same Repo as t...

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zzy
by New Contributor III
  • 2732 Views
  • 2 replies
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Why is GPU accelerated node much slower than CPU node for training a random forest model on databricks?

I have a dataset about 5 million rows with 14 features and a binary target. I decided to train a pyspark random forest classifier on Databricks. The CPU cluster I created contains 2 c4.8xlarge workers (60GB, 36core) and 1 r4.xlarge (31GB, 4core) driv...

  • 2732 Views
  • 2 replies
  • 2 kudos
Latest Reply
Hubert-Dudek
Esteemed Contributor III
  • 2 kudos

In many cases, you need to adjust your code to utilize GPU.

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elementalM
by New Contributor III
  • 4340 Views
  • 4 replies
  • 4 kudos

Catch-up Structured Stream hangs on last step of write job to delta sync using toTable

I'm running databricks version 10.4 on gcp. I'm running a structured stream trying to process historical files in a delta table on gcp cloud storage. This source delta table is big but maintained with OPTIMIZE.The stream repartitions which seems to b...

image
  • 4340 Views
  • 4 replies
  • 4 kudos
Latest Reply
Anonymous
Not applicable
  • 4 kudos

Hi @Dwight Branscombe​ 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....

  • 4 kudos
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HemanthVak
by New Contributor II
  • 2245 Views
  • 2 replies
  • 3 kudos

How to isolate environments for different projects in a single mlflow server?

I am planning to deploy MLFlow server deployed in Azure as a centralised repositories for my machine learning experiments and runs and to store events and artifacts. I would like to have different environments or isolated environments in the same wor...

  • 2245 Views
  • 2 replies
  • 3 kudos
Latest Reply
Anonymous
Not applicable
  • 3 kudos

Hi @Hemanth Vakacharla​ Does @Debayan Mukherjee​  response answer your question? If yes, would you be happy to mark it as best so that other members can find the solution more quickly?We'd love to hear from you.Thanks!

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weldermartins
by Honored Contributor
  • 25710 Views
  • 17 replies
  • 13 kudos

Resolved! Created nested struct schema SPARK - Schema Jira

Hello guys,I'm using Jira API to return "ISSUES". But to be able to use pyspark I need to create the Dataframe passing in the Schema. But I am not able to create the Schema based on the model below. Would you have any ideas?root |-- expand: string ...

  • 25710 Views
  • 17 replies
  • 13 kudos
Latest Reply
-werners-
Esteemed Contributor III
  • 13 kudos

if columns are missing, that particular data is not present in the json. I am not aware of spark skipping columns when reading json with inferschema. There is an option dropFieldIfAllNull but that is False by default.That makes me think: you might ...

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