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We are building an machine learning application with feature store enabled. Once the model is built, we are trying to move the model artifacts and deploy it in azure ml as online endpoint. Does it possible to access the online store in azure ml endpo...
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if you want databricks to use the feature store, which is in Cosmos DB, yes, it is possible https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/online-feature-storessuppose you want to consume a future store in Databrick...
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From a notebook I created a new feature store via:%sql
CREATE DATABASE IF NOT EXISTS feature_store_ebp;Within that feature store I fill my table with:feature_store_name = "feature_store_ebp.table_1"
try:
fs.write_table(
name=feature_stor...
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What kind of runtime machine (version) do you use to run this code?
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I was following the Databricks Academy "New Capabilities Overview: Feature Store" module. However when I try to run the code in the example notebook I get a security exception as explained below. When I try to run the example notebook "01-Populate a ...
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Hi @Daniel Barrundia​ - please select "No isolation shared" Access mode, it should resolve this problem.
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To save computing resource and time, can I use streaming source in a batch mode (similar to Auto Loader) to update my feature store as my source table receives row update or is appended with new rows?
- 682 Views
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yes you can schedule the job to process the data with auto loader
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The documentation explains how to delete feature tables through the UI. Is it possible to do the same using the Python FeatureStoreClient? I cannot find anything in the docs: https://docs.databricks.com/_static/documents/feature-store-python-api-refe...
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from databricks import feature_store
fs = feature_store.FeatureStoreClient()
fs.drop_table(FEATURE_TABLE_NAME)As of Databricks Runtime 10.5 for ML. Docs
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Where to find the best practices on MLOps on DatabricksWe recommend checking out the Big Book of MLOps for detailed guidance on MLOps best practices on Databricks including reference architectures.For a deep dive on the Databricks Feature store, we r...
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sher
Valued Contributor II
you can check here https://docs.databricks.com/machine-learning/mlops/mlops-workflow.html
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To leverage Databricks feature store, can only Python be utilized? If otherwise, what other language frameworks are supported. Below is my question in 2 partsPart 1) What languages can be utilized to write data frames as feature tables in the Feature...
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you can use any of these languages Python, SQL, Scala and R
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After much digging, observed i was using standard runtime. Once i switched to ML runtime of databricks, issue was resolved. To use Feature Store capability, ensure that you select a Databricks Runtime ML version from the Databricks Runtime Version dr...
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Hello ,I am working with lookupEngine functions. However, we have some feature tables with granularity level most detailled of dataframe input.Please find an example :table A with unique keys on two features : numero_p, numero_s So while performing F...
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Hi @SERET Nathalie​ , I can check internally on the ask here. In the meantime please let us know if this helps: https://docs.databricks.com/machine-learning/feature-store/feature-tables.htmlhttps://docs.databricks.com/machine-learning/feature-store/i...
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by
Cirsa
• New Contributor II
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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...
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@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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Hi All, We're currently considering turning on Unity Catalog but before we flick the switch I'm hoping I can get a bit more confidence of what will happen with our existing dbfs mounts and feature store. The bit that makes me nervous is the crede...
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@Ashley Betts​ can you please check below article, as far as i know we can use external mount points by configuring storage credentials in unity catalog . default method is managed tables, but we can point external tables also. 1. you can upgrade exi...
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from databricks import feature_storeI am trying to import feature_store but it is showing this error.ImportError: cannot import name 'feature_store' from 'databricks' (/databricks/python/lib/python3.8/site-packages/databricks/__init__.py)
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Is this issue resolved completely? We are facing the same problem. this might help.
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I am working with feature store to save the engineered features. However, for the specific case we have lots of feature table and lot of separate target variables on which we want to train separate models. Now for each of these model, we can leverage...
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Thanks for taking the time to let us know how to make Databricks even better! @Mayank Srivastava​ I love that you included a real-life example as well. I think I know the right PM at Databricks that will be interested in this input. Thanks again for...
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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, ...
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Hope that was an easy fix - @Tobias Cortese​ ! Thanks for marking the "best answer"!
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by
vives
• New Contributor II
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It seems that the current method log_model from the FeatureStoreClient class lacks a way to pass in the model signature (as opposed as doing it through mlflow directly). Is there a workaround to append this information? Thanks!
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Hello!You can log a model with a signature by passing a signature object as an argument with your log_model call. Please see here.Here's an example of this in action in a databricks notebook.Hope that helps!-Amir
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