v1.1

What's Changed

Model Enhancements

• Support for missing values
  xplainable now inherently handles missing values out of the box. This is a useful feature for understanding missing values in your data and their effect on your model without imputing or dropping nan values.
• Improved categorical scoring
  xplainable used to group categories, but we found that this produced undesirable results and often under-fitted categorical features. v1.1 now handles all categories separately for enhanced performance
• Improved performance on regression modelling
  The initial fit on the xplainable regression model has improved out of the box allowing faster execution times for optimisation pipelines

Structural changes

• The model profile structure has been updated to accommodate the above enhancements which required a major refactor of much of the code base

Gradio Fine Tuning Implementation

What's Changed

Among smaller changes, the added ability to fine-tune models using Gradio makes it faster and easier to optimise your model profiles. It also enables better GUI support for Databricks and Google Colab.

Auto-generated notes

• updated tqdm progress range by @tim-huntley in #63
• Gpt explainer by @tim-huntley in #64
• added XConstructor testing by @tim-huntley in #65
• Client update by @tim-huntley in #66
• Gradio by @tim-huntley in #67

Full Changelog: v1.0.7...v1.0.9

Optional Dependency Management +

Summary

Optional Dependencies

We implemented optional dependency management to keep the core features light. Extras now include:

• [gui] --> the dependencies required to render the xplainable GUI
• [plotting] --> dependencies required for advanced plotting functionality

Feature Selection

We designed 2 new approaches to feature selection:

• GraphSelector --> a network approach to feature selection using correlations and networkx
• XClfFeatureSelector --> a machine learning approach to feature selection using Xplainable models (clf only so far)

These classes are best used together is the order of XClfFeatureSelector --> GraphSelector

What's Changed

• updated license link in badge by @tim-huntley in #59
• Client evaluation by @tim-huntley in #60
• Feature selection by @tim-huntley in #61
• Dependencies by @tim-huntley in #62

Full Changelog: v1.0.4...v1.0.7

Client Update

Overview

This release contains a new, updated client that allows model and preprocessor persistence to xplainable cloud. There were also some minor updates, including parameter validation and handlers.

What's Changed

• added handler for zero-balance partitions by @tim-huntley in #55
• Client by @tim-huntley in #56
• added parameter checking and updated default search space by @tim-huntley in #57
• updated client and parameter validation by @tim-huntley in #58

Full Changelog: v1.0.3...v1.0.4

Initial Public Release

Initial Public Release

This is the first release of xplainable! Please get in touch to contribute or share feedback at contact@xplainable.io

Contributors
@tim-huntley
@Jtuppack