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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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Data + AI Summit 2024 - Data Science & Machine Learning

Forum Posts

Youssef1985
by New Contributor
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Pushing SparkNLP Model on Mlflow

Hello Everyone, I am trying to load a SparkNLP (link for more details about the model if required) from Mlflow Registry. To this end, I have followed one tutorial and implemented below codes:import mlflow.pyfunc   class LangDetectionModel(mlflow.pyfu...

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tala
New Contributor II
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آموزش طراحی سایت https://arzgu.ir/blog/What%20is%20website%20design

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youssefmrini
by Honored Contributor III
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  • 796 Views
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Latest Reply
youssefmrini
Honored Contributor III
  • 1 kudos

Yes You can. With Databricks Runtime 12.2 LTS ML and above, you can use existing feature tables in Feature Store to augment the original input dataset for all of your AutoML problems: classification, regression, and forecasting.This capability requi...

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anvil
by New Contributor II
  • 666 Views
  • 1 replies
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How far does model size and lag impact distributed inference ?

Hello !I was wondering how impactful a model's size of inference lag was in a distributed manner.With tools like Pandas Iterator UDFs or mlflow.pyfunc.spark_udf() we can make it so models are loaded only once per worker, so I would tend to say that m...

  • 666 Views
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youssefmrini
Honored Contributor III
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Your assumption that minimizing inference lag is more important than minimizing the size of the model in a distributed setting is generally correct.In a distributed environment, models are typically loaded once per worker, as you mentioned, which mea...

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rubenteixeira
by New Contributor III
  • 1839 Views
  • 3 replies
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Enable programmatically writing to files

Hi everyone. I'm training a time series forecasting model in Azure Databricks. When I try to parallelize, it gives me this error:I have Contributor permission on the Databricks service, on the Azure Portal, and I'm an admin inside the Databricks work...

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jose_gonzalez
Moderator
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Hi @Rúben Teixeira​,Just a friendly follow-up. Did any of the responses help you to resolve your question? if it did, please mark it as best. Otherwise, please let us know if you still need help.

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Sujitha
by Community Manager
  • 590 Views
  • 1 replies
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Don’t miss out! Data + AI Summit early bird pricing ends soon Register by February 28 to take advantage of our early bird discount. Join thousands of ...

Don’t miss out! Data + AI Summit early bird pricing ends soonRegister by February 28 to take advantage of our early bird discount. Join thousands of data engineers, data scientists and data analysts from around the world at this year’s Data + AI Summ...

  • 590 Views
  • 1 replies
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Latest Reply
Kaniz_Fatma
Community Manager
  • 2 kudos

Wow!!Hurry up, Community Influencers!

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_CV
by New Contributor III
  • 2289 Views
  • 3 replies
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Resolved! I'm no longer able to import MLFlow using PYPI to automated clusters

Starting yesterday afternoon, my job clusters across different workstations started throwing an error when importing from pypi the MLFlow library upon cluster initiation and startup. I'm using an Azure Databricks automated job cluster (details below)...

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Latest Reply
Anonymous
Not applicable
  • 3 kudos

Hi @Chris Valley​ 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.Thank...

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horatio
by New Contributor II
  • 4457 Views
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Access Denied 403 error when trying to access data in S3 with dlt pipeline using configured and working instance profile and mounted bucket

I can read all of my s3 data without any issues after configuring my cluster with an instance profile however when I try to run the following dlt decorator it gives me an access denied error. Are there some other IAM tweaks I need to make for delta? ...

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Latest Reply
BradSheridan
Valued Contributor
  • 3 kudos

@Robby Kiskanyan​ did you ever resolve this? I'm facing the same exact issue right now.thanks,Brad

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notsure
by New Contributor
  • 1120 Views
  • 1 replies
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Model serving with Serverless Real-Time Inference - How could I call the endpoint with json file consisted of raw text that need to be transformed and get the prediction?

Hi!I want to call the generated endpoint with a json file consisted of texts directly, could this endpoint take the raw texts, transform the texts into vectors and then output the prediction?Is there a way to support so?Thanks in advance!!!

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Latest Reply
Debayan
Esteemed Contributor III
  • 1 kudos

Hi, the updated document is : https://docs.databricks.com/machine-learning/model-inference/serverless/serverless-real-time-inference.html, (mentioned in the document stated above: This documentation has been retired and might not be updated. The prod...

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Gilg
by Contributor II
  • 1729 Views
  • 3 replies
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INVALID_STATE: Databricks could not access keyvault

Hi Team,Update: We are using Unity Catalog workspace. Also we are using RBAC model.I am able to create a secret scope and able to list the scope in a notebook usingdbutils.secrets.list("<scopename>")But when I try get the secret value using value = d...

  • 1729 Views
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Latest Reply
Anonymous
Not applicable
  • 3 kudos

Hi @Gil Gonong​ 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.Thanks!

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anvil
by New Contributor II
  • 1949 Views
  • 3 replies
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Are UDFs necessary for applying models from ML libraries at scale ?

Hello,I recently finished the "scalable machine learning with apache spark" course and saw that SKLearn models could be applied faster in a distributed manner when used in pandas UDFs or with mapInPandas() method. Spark MLlib models don't need this k...

  • 1949 Views
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Latest Reply
Manoj12421
Valued Contributor II
  • 4 kudos

MlLib is in the maintenance model and udf is not used by creating model in most cases

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fa
by New Contributor III
  • 2813 Views
  • 6 replies
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How are dashboards served and what would happen to them if the cluster attached to the notebook terminates?

I have two dashboards in presentation mode both from notebooks being run on the same compute cluster. Last night the cluster terminated due to idle time and in the morning one of my dashboards was fine but the other one was set to the default stab di...

  • 2813 Views
  • 6 replies
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Latest Reply
Manoj12421
Valued Contributor II
  • 7 kudos

​If your query were scheduled, it's automatically started the cluster at the scheduled time Or might be possible that the portion that is still visible doesn't need to be generated so it looks like it's working but it is just left over from the prior...

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Charley
by New Contributor II
  • 4751 Views
  • 1 replies
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error status 400 calling serving model endpoint invocation using personal access token on Azure Databricks

Hi all, I've deployed a model, moved it to production and served it (mlflow), but when testing it in the python notebook I get a 400 error. code/details below:import osimport requestsimport jsonimport pandas as pdimport numpy as np# Create two record...

  • 4751 Views
  • 1 replies
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Latest Reply
nakany
New Contributor II
  • 1 kudos

data_json in the score_model function should be defined as followsds_dict = {"dataframe_split": dataset.to_dict(orient='split')} if isinstance(dataset, pd.DataFrame) else create_tf_serving_json(dataset)

  • 1 kudos
Hubert-Dudek
by Esteemed Contributor III
  • 1434 Views
  • 1 replies
  • 7 kudos

Materialized views are a powerful feature soon available on databricks. Unlike traditional views, which store the query definition, materialized views...

Materialized views are a powerful feature soon available on databricks. Unlike traditional views, which store the query definition, materialized views physically store the data, making it available for faster querying. This translates to significantl...

Screenshot 2023-01-30 124030
  • 1434 Views
  • 1 replies
  • 7 kudos
Latest Reply
Ajay-Pandey
Esteemed Contributor III
  • 7 kudos

Very informative, Thanks for sharing

  • 7 kudos
ALIDI
by New Contributor II
  • 1328 Views
  • 1 replies
  • 2 kudos

Run with UUID *** is already active when running automl

Hi, I'm tried using databricks autoML API following the documentation and example notebook. The documentation and example are pretty straight forward however I encountered the following error:Exception: Run with UUID 1315376a0cbb4657b5d23fa552efba4b ...

  • 1328 Views
  • 1 replies
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Latest Reply
shan_chandra
Esteemed Contributor
  • 2 kudos

@Al IDI​ - could you please let us know the ML runtime version you have ran into this? could you please try setting and see if it works? spark.conf.set("spark.databricks.mlflow.trackHyperopt.enabled", "false")

  • 2 kudos
jonathan-dufaul
by Valued Contributor
  • 1149 Views
  • 1 replies
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how does the data science workflow change in databricks if you start with a nosql database (specifically document store) instead of something more traditional/rdbms type source?

I'm sorry if this is a bad question. The tl;dr is are there any concrete examples of a nosql data science workflows specifically in databricks and if so what are they?is it always the case that our end goal is a dataframe?For us we start as a bunch o...

  • 1149 Views
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Latest Reply
Nhan_Nguyen
Valued Contributor
  • 0 kudos

Nice sharing, thanks!

  • 0 kudos
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