Sökning: "Feature Stores"
Visar resultat 1 - 5 av 17 uppsatser innehållade orden Feature Stores.
1. Faster Reading with DuckDB and Arrow Flight on Hopsworks : Benchmark and Performance Evaluation of Offline Feature Stores
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Over the last few years, Machine Learning has become a huge field with “Big Tech” companies sharing their experiences building machine learning infrastructure. Feature Stores, used as centralized data repositories for machine learning features, are seen as a central component to operational and scalable machine learning. LÄS MER
2. Resource-efficient and fast Point-in-Time joins for Apache Spark : Optimization of time travel operations for the creation of machine learning training datasets
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A scenario in which modern machine learning models are trained is to make use of past data to be able to make predictions about the future. When working with multiple structured and time-labeled datasets, it has become a more common practice to make use of a join operator called the Point-in-Time join, or PIT join, to construct these datasets. LÄS MER
3. En undersökning av svenska livsmedelspriser: Vilka faktorer påverkar prissättningen?
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : The main objective of this paper is to investigate price determining factors in Swedish grocery retailing. By combining economic theory with linear regression analysis the paper wishes to shed light on what kind of factors that are affecting Swedish food retailers when they are pricing food products. LÄS MER
4. Data Build Tool (DBT) Jobs in Hopsworks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Feature engineering at scale is always critical and challenging in the machine learning pipeline. Modern data warehouses enable data analysts to do feature engineering by transforming, validating and aggregating data in Structured Query Language (SQL). LÄS MER
5. A comparison of Data Stores for the Online Feature Store Component : A comparison between NDB and Aerospike
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis aimed to investigate what Data Stores would fit to be implemented as an Online Feature Store. This is a component in the Machine Learning infrastructure that needs to be able to handle low latency Reads at high throughput with high availability. LÄS MER