What are the practical differences between bagging and boosting algorithms?
How are bagging and boosting different when you use them in real machine-learning projects?
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How are bagging and boosting different when you use them in real machine-learning projects?
How do you keep your machine-learning files, notebooks, and code properly organized in Databricks?
Hey @Suheb , I teach a lot of our machine learning training, and over time I’ve talked with many students, customers, and partners about how they approach this. The answers are all over the map, which tells you there’s no single “golden rule” that fi...
Hello!I’m trying to add a tool — Azure Databricks Genie — in Microsoft Copilot Studio for my agent, but I’m running into some difficulties. Is it possible to establish this connection using a Pro cluster, or does it only work with a serverless cluste...
I'm afraid I don't have much further suggestions. I'd suggest you raise a ticket with Microsoft on this.
What should you do when your dataset is uneven—some values appear too many times and others appear very few times—while working in Databricks?
Hi @Suheb ,Refer to really good guide prepared by Databricks team. When you have a skewed dataset the primary things you can do are following:1. Filter skewed values2. Apply Skew hints3. AQE skew optimization4. SaltingMuch detailed description of abo...
There was a model which was migrated from workspace model registry to unity catalog. At the time of initial creation of that model, dependencies to other databricks serving endpoints were configured using "DatabricksServiceEndpoint" config in mlflow....
Workspace model registry worked with workspace-scoped serving endpoints. UC models and UC serving endpoints use metastore-wide semantics and different lookup rules. The saved path inside the model metadata still points to workspace-level endpoints th...
Hello, We have multiple data bricks instances each represents an environment dev,qa,rel,prod etc.. We developed a model in the dev workspace and registered in the UC model registry using mlflow. Now, we are trying to find a best way to deploy this r...
You can use UC's centralized model registry and MLflow’s copy APIs. If all target workspaces attach to the same Unity Catalog metastore, reference and promote models via their 3‑level UC names; use MLflow’s copy_model_version to “copy” the exact arti...
QuestionIt would be great if you could recommend how I go about solving the below problem. I haven't been able to find much help online. A. Background:A1. I have to text manipulation using python (like concatenation , convert to spacy doc , get verbs...
I have to process data for n number of devices which is sending data in every 5 seconds.I have a similar scenario where I have to take last 3 hours of data and process it for all the devices for some key parameters. Now if I am doing it sequentially ...
Hello Team,I hope you are doing well.I am a student currently exploring Databricks and learning how to work with the "ai parse document" function. While experimenting, I encountered a couple of issues related to text extraction from images inside PDF...
Hello @rajcoder! This post appears to duplicate the one you recently posted. A response has already been provided to your recent post. I recommend continuing the discussion in that thread to keep the conversation focused and organised.
Many Databricks engineers have asked whether it's possible to use Claude Code CLI directly against Databricks-hosted Claude models instead of Anthropic's cloud API. This enables repo-aware AI workflows—navigation, diffs, testing, MCP tools—right insi...
Hi everyone,I’m looking for accessing Unity Catalog (UC) Volumes from a Databricks Serving Endpoint. Here’s my current setup:I have a custom AI model class for inference, which I logged into Unity Catalog using mlflow.pyfunc.log_model.I’ve created a ...
Serverless Model Serving does not mount the UC Volumes FUSE path (/Volumes), so references to “/Volumes/…” inside a custom pyfunc’s model code will fail at container build or runtime. The correct pattern is to package any required files (like your ...
When I use LightGBM, I get the following error on the line below: 'str' object has no attribute 'getParam'.Is this because serverless cannot run the JAR files that SynapseML depends on?File /local_disk0/.ephemeral_nfs/envs/pythonEnv-b0d5f8ce-8426-443...
Sorry, I just found out while checking the official documentation that starting from November, dependency JAR files are supported.I’ll give it a try and see how well it works.If anyone has any insights, I would greatly appreciate your guidance.
Hi Databricks Community,I’m trying to deploy a model serving endpoint that uses Databricks Feature Store (Unity Catalog, online tables).My offline and online feature tables are created and visible in Databricks.The model is logged with FeatureEnginee...
Thanks for the reply It is very useful and comprehensive.I managed to find another solution to the problem so I wanted to share some additional details on this topic:I was using 15.4 LTS ML Runtime, this could have caused the problem - I did not swit...
In the Unity Catalog launch and its accompanying blog post, one of the primary selling points was a set of granular access control features that would at least partially eliminate the need to create a multitude of separate table views and the attenda...
@at-khatri Databricks ABAC is in Public Preview nowhttps://docs.databricks.com/aws/en/data-governance/unity-catalog/abac/
Hi everyone, For the Databricks Free Edition Hackathon, I wanted to show that traditional ML still has a big role today, and how it can work hand-in-hand with Databricks’ newer AI tooling. As a concrete use case, I created a recipe recommendation eng...
This is amazing @hasnat_unifeye. Well done and good luck for the hackathon.
Hi All,It looks like AutoML is set to be deprecated with the next major version (although the note isn't specific on if that's 18). I haven't seen any announcement or alert about this impending change. Did I just miss it? I know we have teams using t...
Hi @kevin11 ,I guess it's their standard way of library deprecation policy. In their docs they mentioned that when a library is planned for removal, Databricks takes following steps to notify customers:So they've added those note to AutoMl docs:And y...
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