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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

MattM
by New Contributor III
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Mapping Control data - Maintained by Business User

We are ingesting our data from ADLS into databricks as delta table. After raw layer we need to refer to a control\mapping layer which defines certain logic\measure definition. This would be incorporated in the subsequent silver or gold layer. This co...

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MattM
New Contributor III
  • 2 kudos

Thanks for your response. Can business user without the help of any script modify any rows in the table after loading it onetime from CSV fiels?

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Hubert-Dudek
by Esteemed Contributor III
  • 3357 Views
  • 1 replies
  • 32 kudos

Databricks Roadmap Azure There are a lot of excitement new features coming in 2022. I tried to put them all on one list: Unity catalog (seems that it ...

Databricks Roadmap AzureThere are a lot of excitement new features coming in 2022. I tried to put them all on one list:Unity catalog (seems that it will exists next to hive metastore and it will be possible to migrate)Control metastore, unity creatio...

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  • 32 kudos
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  • 32 kudos

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Databricks Roadmap AzureThere are a lot of excitement new features coming in 2022. I tried to put them all on one list:Unity catalog (seems that it will exists next to hive metastore and it will be possible to migrate)Control metastore, unity creatio...

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anu_sh
by New Contributor II
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  • 6 kudos
  • 2117 Views
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-werners-
Esteemed Contributor III
  • 6 kudos

Here are the supported data types for the Feature Store:https://docs.databricks.com/applications/machine-learning/feature-store/feature-tables.html#supported-data-typesAs you can see, image is not between them, but you could use BinaryType.

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MadelynM
by Databricks Employee
  • 1724 Views
  • 1 replies
  • 7 kudos

2021-07-Webinar--Hassle-Free-Data-Ingestion-Social-1200x628

Thanks to everyone who joined the Hassle-Free Data Ingestion webinar. You can access the on-demand recording here. We're sharing a subset of the phenomenal questions asked and answered throughout the session. You'll find Ingestion Q&A listed first, f...

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Emily_S
New Contributor III
  • 7 kudos

Check out Part 2 of this Data Ingestion webinar to find out how to easily ingest semi-structured data at scale into your Delta Lake, including how to use Databricks Auto Loader to ingest JSON data into Delta Lake.

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User16752240150
by New Contributor II
  • 1005 Views
  • 1 replies
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What algorithms does Databricks AutoML use?

AutoML presumably tries a few different algorithms while hyperparameter searching. What model types are considered?

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sean_owen
Databricks Employee
  • 1 kudos

At the moment, it's really just xgboost, and sklearn implemenations like random forests, logistic regression, and linear regression as applicable. More possibilities are coming.

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User16752239203
by Databricks Employee
  • 1005 Views
  • 1 replies
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How can I use Non- Spark related libraries like spacy with Databricks and Spark

I have an NLP application that I build on my local machine using spacy and pandas, but now I would like to scale my application to a large production dataset and utilize the benefits of sparks distributed compute. How do I import and utilize a librar...

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sean_owen
Databricks Employee
  • 0 kudos

It depends on what you mean, but if you're just trying to (say) tokenize and process data with spacy in parallel, then that's trivial. Write a 'pandas UDF' function that expresses how you want to transform data using spacy, in terms of a pandas DataF...

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User16826994223
by Honored Contributor III
  • 1830 Views
  • 1 replies
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Muliple Where condition vs AND && in Pyspark

.where((col('state')==state) & (col('month')>startmonth)I can do the where conditions both ways. I think the one below add readability. Is there any other difference and which is the best?.where(col('state')==state).where(col('month')>startmonth)

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User16826994223
Honored Contributor III
  • 0 kudos

You can use explain to see what type of physical and logical plans are getting created . This is the best way to see difference , but as mentioned in the question , it should give the same physical plan

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User16789201666
by Databricks Employee
  • 2392 Views
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What is Databricks' model deployment framework?

How do you do deploy a model in Databricks.

  • 2392 Views
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RonanStokes_DB
Databricks Employee
  • 0 kudos

The following resources provide more detail on this:Databricks model registry example notebook: https://docs.databricks.com/_static/notebooks/mlflow/mlflow-model-registry-example.htmlDatabricks model lifecycle - https://docs.databricks.com/applicatio...

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