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Sease
  • About Us
    • Research & Development
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    • Artificial Intelligence in Search Training
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Learning To Rank Main Blog
_ Ilaria Petreti

Train and Test Sets Split for Evaluating Learning To Rank Models – Part 2

What is the most appropriate approach to handle queries when splitting data when evaluating learning to rank models?

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Machine Learning Main Blog
Train and Test Sets Split for Evaluating Learning To Rank Models
_ Ilaria Petreti

Train and Test Sets Split for Evaluating Learning To Rank Models

How data splitting can be done and why it is important for the offline evaluation of Learning to Rank models?

READ MORE ♥47
Tips And Tricks
How to Deal with Too Many 'object' in Pandas from JSON Parsing
_ Ilaria Petreti

How to Deal with Too Many ‘object’ in Pandas from JSON Parsing

Here we are with a new “episode” about managing large JSON, as promised. If you have not yet read the first two blog posts, I suggest making up for them in order to better understand what I’m going to discuss right now: How to manage a large JSON file efficiently and quickly How to manage…

READ MORE ♥51
Apache Solr Tips And Tricks
_ Anna Ruggero

Common Errors with Apache Solr Feature and Model Stores

Common errors and warnings in manipulating feature stores and models in Solr. Pay attention also to JVM Heap and Zookeeper.

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Apache Solr Learning To Rank Tips And Tricks
_ Anna Ruggero

Apache Solr Learning to Rank Feature Stores and Models

How to list, upload, delete feature stores and models necessary in Solr for learning to rank.

READ MORE ♥115
Learning To Rank Main Blog
Explaining Learning to Rank Models with Tree Shap
_ Anna Ruggero

Explaining Learning to Rank Models with Tree Shap

Introduction A common problem with machine learning models is their interpretability and explainability.We create a dataset and we train a model to achieve a task, then we would like to understand how the model obtains those results. This is often quite difficult to understand, especially with very complex models. In this blog post, I would…

READ MORE ♥122
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