- 3200 Views
- 3 replies
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Resolved! Online Feature Store MLflow serving problem
When I try to serve a model stored with FeatureStoreClient().log_model using the feature-store-online-example-cosmosdb tutorial Notebook, I get errors suggesting that the primary key schema is not configured properly. However, if I look in the Featur...
- 3200 Views
- 3 replies
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Hello @Thomas Michielsen​ , this error seems to occur when you may have created the table yourself. You must use publish_table() to create the table in the online store. Do not manually create a database or container inside Cosmos DB. publish_table()...
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- 4377 Views
- 7 replies
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What programming frameworks and languages can be used with Databricks Feature Store
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...
- 4377 Views
- 7 replies
- 15 kudos
- 2250 Views
- 1 replies
- 2 kudos
Resolved! Unable to create feature table using databricks API .FeatureStoreClient()
I am following example steps from databricks documentation https://docs.databricks.com/_static/notebooks/machine-learning/feature-store-taxi-example.htmlI am using Feature Store client v0.3.6 and above.However on trying to create feature table with f...
- 2250 Views
- 1 replies
- 2 kudos
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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...
- 2 kudos
- 1996 Views
- 3 replies
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Resolved! How to drop single feature from feature store table
I have a feature store table and I would like to change one of the features from IntegerType to FloatType, I can't merge this change as it violates the schema. Is it possible to drop a single feature from the table and add the revised feature?Current...
- 1996 Views
- 3 replies
- 3 kudos
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Hi there @_ _​ 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!
- 3 kudos
- 4673 Views
- 5 replies
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Feature table: merge very slow
Hi All, We're just started to look at the feature store capabilities of Databricks. Our first attempt to create a feature table has resulted in very slow write. To avoid the time incurred by the feature functions I generated a dataframe with same...
- 4673 Views
- 5 replies
- 5 kudos
- 5 kudos
Hi @Ashley Betts​ 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...
- 5 kudos
- 1835 Views
- 3 replies
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Resolved! Feature store : Can create_training_set() be implemented to execute an inner join?
For timeseries feature tables, an inner join is made at the creation of the feature table. For the other type of feature tables, a left join is made, so NaN values can show up in the training set. Can the inner join in create_training_set() method be...
- 1835 Views
- 3 replies
- 4 kudos
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Thank you Hubert, that's a good alternative, I just thought I'd stick to the api as much as possible, but this solves it.
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- 1818 Views
- 0 replies
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MlFlow and Feature Store: mlflow.spark.autolog, using feature store on Databricks, FeatureStoreClient.log_model()?
As I am moving my first steps within the Databricks Machine Learning Workspace, I am getting confused by some features that by "documentation" seem to overlap. Does autolog for spark on mlflow provide different tracking than using a training set crea...
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- 0 replies
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- 1349 Views
- 1 replies
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When would you use the Feature Store?
For example would you use a feature store on your raw data or what's is the granularity of the features in the store?
- 1349 Views
- 1 replies
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I'll try to answer the broad question first, followed by the specific ones.When would you use the Feature Store?A Feature Store is primarily used to solve 2 challenges.(1) Discoverability and governance of featuresChallenge: In a large team or organi...
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- 3154 Views
- 1 replies
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When should we use offline store vs online store for Feature Store?
Looking at the docs we see both options, can we use both e.g.?
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Online store is for real time inferencing, in most case you will use the offline store.
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