All Content tagged with Amazon SageMaker Feature Store
Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features.
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Hi Team,
I have 2 questions -
1. Is it possible to fetch more than 100 records from online store at a time? As per my understanding BatchGetRecord only allows for 100 records at a time.
2. When I do...
2
answers
0
votes
189
views
asked a year ago
While studying SageMaker before taking a certification test, I encountered a problem, took notes while looking at possible solutions, and then used an AI tool to summarize my notes and effectively des...
1
answers
0
votes
122
views
asked a year ago
With AWS Sagemaker Feature Store, is there a risk of accidentally overwriting fields that are not intended to be changed? How is this typically prevented?
Example:
A feature set stores data on cars ...
1
answers
0
votes
201
views
asked 2 years ago
Hi, I'm using the Sagemaker Feature Store Feature Processor SDK to ingest data into an OfflineStore.
The problem I am having is that the ingestion speed is very slow. Ingesting a test set of 10,000 ...
0
answers
0
votes
462
views
asked 2 years ago
I am trying to output the feature store toS3 bucket via a Sagemaker Notebook, however I get this error
```
`---------------------------------------------------------------------------
UnexpectedStat...
2
answers
0
votes
340
views
asked 2 years ago
The offline feature store only allows partitioning by year/month/day/hour/timestamp am I missing functionality? Why isn't there not be a partition by the record id provided to the feature group?
0
answers
0
votes
230
views
asked 3 years ago
Hi!
I'm using the [Feature Store Spark connector](https://docs.aws.amazon.com/sagemaker/latest/dg/batch-ingestion-spark-connector-setup.html) to ingest data into the Sagemaker Feature Store and when...
1
answers
0
votes
706
views
asked 3 years ago
I am creating feature groups using sagemaker feature store service. So once a feature group is created, a awsDataCatalog (table) will be automatically created in athena console. While doing this proc...
2
answers
0
votes
762
views
asked 4 years ago
Hi,
We are exploring with KDA for our streaming data ingestion pipeline for ML purpose. From https://aws.amazon.com/blogs/machine-learning/using-streaming-ingestion-with-amazon-sagemaker-feature-store...
1
answers
0
votes
641
views
asked 4 years ago
After create model in Redshift i can load the generated model in python via Sagemaker. The features are generated automatically e.g. f0, f1 and so on. Altough i have only 10 columns i get maybe 500 fe...
1
answers
0
votes
581
views
asked 4 years ago
AWS' feature store pages describe feature groups and how to store features and their types (https://docs.aws.amazon.com/sagemaker/latest/dg/feature-store-introduction-notebook.html) . However, it is n...
1
answers
0
votes
1K
views
asked 4 years ago
SageMaker Feature Store is full of questions for me, ever since I started working with it.
The thing which is absolutely not clear for me is about integration with Athena/Glue.
Since there is no buil...
1
answers
0
votes
1.9K
views
asked 4 years ago
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