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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

SR_71
by New Contributor II
  • 7868 Views
  • 6 replies
  • 3 kudos

Databricks Notebook Rendering Issue: IPython.lib.display.IFrame

Similar issue here: https://stackoverflow.com/questions/71336374/randomforestclassifier-explainer-dashboard-output-in-databricks-notebook-is-notActual output – Databricks Notebook Expected Output – Jupyter Notebook Reproducible Code Example#pip insta...

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  • 7868 Views
  • 6 replies
  • 3 kudos
Latest Reply
ChanduBhujang
New Contributor II
  • 3 kudos

Hi Abhishek, I followed your steps, I am having in identifying the dashboard link. How do I figure out the first two words dbc-dp- for my cluster? 

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Aarsh
by New Contributor II
  • 5488 Views
  • 0 replies
  • 1 kudos

Failure in Databricks Serving endpoint <build log says Pip failed due to conflicting dependency.>

Hello All,We are trying to deploy some models using Databricks Serving endpoint, But while deploying the artifact created during experiment run the serving endpoint build log says Pip failed due to conflicting dependency.The model is logged in experi...

  • 5488 Views
  • 0 replies
  • 1 kudos
Anonymous
by Not applicable
  • 1305 Views
  • 1 replies
  • 7 kudos

Train machine learning models: How can I take my ML lifecycle from experimentation to production?

Note: the following guide is primarily for Python users. For other languages, please view the following links: • Table batch reads and writes • Create a table in SQL • Visualizing data with DBSQLThis step-by-step guide will get your data...

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  • 1305 Views
  • 1 replies
  • 7 kudos
Latest Reply
Priyag1
Honored Contributor II
  • 7 kudos

I got good knowledge by your post . It is very clear . Thank you . Keep sharing like this posts .It will be helpful

  • 7 kudos
Sujitha
by Databricks Employee
  • 1014 Views
  • 1 replies
  • 0 kudos

Weekly Release Notes Recap Here’s a quick recap of the latest release notes updates from the past one week. Databricks platform release notesJanuary 1...

Weekly Release Notes RecapHere’s a quick recap of the latest release notes updates from the past one week.Databricks platform release notesJanuary 13 - 19, 2023Cluster policies now support limiting the max number of clusters per userYou can now use c...

  • 1014 Views
  • 1 replies
  • 0 kudos
Latest Reply
Aviral-Bhardwaj
Esteemed Contributor III
  • 0 kudos

thanks for the details

  • 0 kudos
CK
by New Contributor II
  • 1680 Views
  • 2 replies
  • 0 kudos

I need to access the json file in the github repo from the databricks notebookI have a repo integrated with Databricks workspace.  When I run %sh pwd ...

I need to access the json file in the github repo from the databricks notebookI have a repo integrated with Databricks workspace. When I run %sh pwd it returns this path /Workspace/Repos/chris@myemail/Repo/folder/test.json. I'm not able to access the...

  • 1680 Views
  • 2 replies
  • 0 kudos
Latest Reply
CK
New Contributor II
  • 0 kudos

It works! Thank you, SRK!

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matte
by New Contributor III
  • 12904 Views
  • 7 replies
  • 16 kudos

Resolved! Way of using pymc.model_to_graphviz into a Databricks notebook

Hi everybody,I created a simple bayesian model using the pymc library in Python. I would like to graphically represent my model using the pymc.model_to_graphviz(model=model) method.However, it seems it does not work within a databrcks notebook, even ...

  • 12904 Views
  • 7 replies
  • 16 kudos
Latest Reply
Own
Contributor
  • 16 kudos

%sh apt install -y graphviz

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Slalom_Tobias
by New Contributor III
  • 3776 Views
  • 3 replies
  • 3 kudos

Resolved! ML Practioner | ML 11 - XGBoost notebook | cannot import keras.applications.resnet50

the following code...from sparkdl.xgboost import XgboostRegressorfrom pyspark.ml import Pipelineparams = {"n_estimators": 100, "learning_rate": 0.1, "max_depth": 4, "random_state": 42, "missing": 0}xgboost = XgboostRegressor(**params)pipeline = Pipel...

  • 3776 Views
  • 3 replies
  • 3 kudos
Latest Reply
Prabakar
Databricks Employee
  • 3 kudos

You need to choose the runtime for ML instead of the standard.

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Giorgi
by Contributor
  • 1320 Views
  • 2 replies
  • 4 kudos

Resolved! Azure Data Factory: allocate resources per Notebook

I'm using Azure Data Factory to create pipeline of Databricks notebooks, something like this:[Notebook 1 - data pre-processing ] -> [Notebook 2 - model training ] -> [Notebook 3 - performance evaluation].Can I write some config file, that would allow...

  • 1320 Views
  • 2 replies
  • 4 kudos
Latest Reply
Hubert-Dudek
Esteemed Contributor III
  • 4 kudos

I understand that, in your case, auto-scaling will take too much time.The simplest option is to use a different cluster for another notebook (and be sure that the previous cluster is terminated instantly).Another option is to use REST API 2.0/cluster...

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Slalom_Tobias
by New Contributor III
  • 2661 Views
  • 2 replies
  • 3 kudos

Resolved! ML Practioner | ML 10 - Feature Store notebook | feature_store import error

the following code...from pyspark.sql.functions import monotonically_increasing_id, lit, expr, randimport uuidfrom databricks import feature_storefrom pyspark.sql.types import StringType, DoubleTypefrom databricks.feature_store import feature_table, ...

  • 2661 Views
  • 2 replies
  • 3 kudos
Latest Reply
Anonymous
Not applicable
  • 3 kudos

Hope that was an easy fix - @Tobias Cortese​ ! Thanks for marking the "best answer"!

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Vijeth
by New Contributor II
  • 3957 Views
  • 1 replies
  • 2 kudos

Resolved! How to deploy or create mlflow model as docker image with REST api endpoint within databricks?

Is it possible to create mlflow model as a docker image with REST api endpoint and use it for inferencing within databricks or hosting the image in azure container instances?

  • 3957 Views
  • 1 replies
  • 2 kudos
Latest Reply
BilalAslamDbrx
Databricks Employee
  • 2 kudos

@Vijeth Moudgalya​ , Hey there, we are definitely interested in making model serving easier and simpler on Databricks. There are some useful product features coming down the line - contact me at bilal dot aslam at databricks dot com if you are intere...

  • 2 kudos
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