Release Notes
Last updated
Last updated
© 2024 Fiddler Labs, Inc.
By Sabina Cartacio • Nov 14, 2024
Feature Analytics in Root Cause Analysis (Public Preview)
The root cause analysis experience within monitoring charts now allows users to add feature distribution, feature correlation, and correlation matrix charts to the Analyze tab.
Deprecation of SQL Methods in the Python Client
From Client 3.6 and onwards, get_slice and download_slice are deprecated. In their stead, use the new download_data method to download production and non-production data from your Fiddler models. If you have any questions or need any assistance migrating scripts using the deprecated methods, please contact your Fiddler customer sucess manager.
Use of or support for Python 3.8 is discontinued by Fiddler. Note Python 3.8 has been designated End of Life as of October 7, 2024.
By Sabina Cartacio • Oct 28, 2024
New Chart Type: Correlation Matrix (Public Preview)
The Correlation Matrix chart enables users to visualize relationships between up to eight columns in a heatmap, making it easy to spot significant patterns. By clicking on any cell representing the relationship between two features, users can open a Feature Correlation chart for that pair, offering more detailed insights into the correlation score.
Events Table in Root Cause Analysis (Public Preview)
The root cause analysis experience within monitoring charts now allows users to perform deeper investigations by viewing and downloading up to 1,000 raw events, providing valuable insights for understanding and addressing potential issues.
By Dustin Basil • Oct 10, 2024
New Chart Type: Metric Card (Public Preview)
We’re excited to introduce the Metric Card chart type, which allows users to display up to four key numerical values in a clear and concise card format. This new visualization enhances data presentation by enabling quick insights into critical metrics, making it easier for decision-makers to spot trends or performance indicators at a glance.
New Chart Type: Feature Correlation (Public Preview)
The Feature Correlation chart, part of Feature Analytics charts, enables users to analyze and visualize the relationships between different features within their models. By offering a clear view of correlations, this tool supports more informed model diagnostics and refinement.
By Dustin Basil • Sep 25, 2024
This release focused on system performance, stability, and security enhancements. These improvements ensure a smoother user experience and provide a more robust platform for future developments.
By Sabina Cartacio • Sep 10, 2024
NEW Standalone Feature Distribution Chart (Public Preview)
Create feature distribution charts for numerical and categorical data types that can be added to dashboards.
Embedding Visualization UX Improvements
User interface and usability improvements to the UMAP embedding visualization chart.
Additional database performance improvements.
Fairness was decommissioned in v24.8, and the documentation has now been removed.
By Rohan Sharma • Aug 29, 2024
Surfacing Error Messages for Failed Jobs
Error messages for failed jobs are now visible directly on the UI job status page, simplifying the process of diagnosing and resolving issues.
User Selected Default Dashboards
Any dashboard within a project can now be assigned as the default dashboard for a model, with all insights leading directly to the assigned default dashboard.
Custom Feature Impact Feature Release Notes
Introducing Custom Feature Impact: Upload custom feature impact scores for your models, leveraging domain-specific knowledge or external data without requiring the corresponding model artifact.
Easy data upload via API endpoint with required parameters: Model UUID, Feature Names, and Impact Scores.
View updated feature impact scores in:
Model details page
Charts page
Explain page
Flexible update options: Update existing feature impact data by uploading new data for the same model and Seamless integration with existing model artifacts.
Flexible Model Deployment
The python-38 base image is no longer supported.
By Sabina Cartacio • Aug 6, 2024
Client version 3.3+ is required for the updates and features mentioned in this release.
Performance Analytics (Preview) Embedded in Monitoring Charts
Visualize performance analytics charts as part of the root cause analysis flow for Binary Classification, Multiclass Classification, and Regression models, spanning from confusion matrices, precision recall charts, prediction scatterplots and more.
By Sabina Cartacio • July 23, 2024
Client version 3.3+ is required for the updates and features mentioned in this release.
Support for applied segments in monitoring charts
Create and apply segments dynamically in monitoring charts for exploratory analysis without requiring them to be saved to the model.
User-Defined Feature Impact
The User-Defined Feature Impact enables you to upload custom feature impact for models. This feature addresses several issues reported by our customers, including model artifact size, onboarding complexity, and the need for custom feature impact.
Key highlights
New method: UploadFeatureImpact
Improved Fiddler UI to display uploaded feature impact
By Rohan Sharma • July 12, 2024
Enhanced access controls
Control access with precision: Manage user access to resources with Role-Based Access Control (RBAC), ensuring the right users have the right permissions.
Simplify user management: Assign roles to users and teams to streamline access control and enhance collaboration. *≠ Protect sensitive resources: Restrict access to sensitive resources, such as models and project settings, with granular permissions.
Work efficiently: Focus on your work without worrying about unauthorized access or data breaches.
By Sabina Cartacio • June 18, 2024
Performance Analytics Charts (Public Preview)
Visualize charts to aid in analyzing model performance for Binary Classification, Multiclass Classification, and Regression models.
Leverage applied segments in Performance Analytics charts to explore problematic cohorts of data.
By Parth Domadia • June 4, 2024
TBD
By Parth Domadia • May 22, 2024
Performance improvements
Improved the performance of various modules / APIs.
Improved observability which can help monitor health and performance of the operations.
Client version 3.1.2+ is required for the updates and features mentioned in this release.
By Sabina Cartacio • May 2, 2024
Support for model versions for streamlined model management
Model Versions
Efficiently manage related models by creating structured versions, facilitating tasks like retraining and comparison analyses.
Users can maintain model lineage, efficiently manage updates, flexibly modify schemas, and adjust parameters.
See: Model Versions for more information.
Airgapped Enrichments (alpha)
For privacy sensitive use cases, all data getting enriched stays within customer premises.
New Deployment Base Images
We have added new deployment base images to support model versioning.
See here.
Client version 3.1.0+ is required for the updates and features mentioned in this release.
By Parth Domadia • April 26, 2024
UMAP UI changes
SSO integration changes
New concept: Environments
Fundamental changes to product concepts
UMAP UI
Vertical scrolling instead of horizontal scrolling for data cards
"View More" option to open data cards in maximized modal
Ability to toggle between data cards in the maximized modal
SSO integration changes
Fiddler now integrates with Azure AD SSO, allowing you to leverage existing user roles for access control within Fiddler. This eliminates the need for manual user creation and simplifies user management within your organization. See Azure AD SSO Support for details
Environments
Each Model now has two Envrionments (Pre-Production and Production) used to house data in different ways.
A Model's Pre-Production Environment is used to house non-time series data (Datasets).
A Model's Production Environment is used to house time series data.
See Data and Environments for more
Product concept changes
Datasets are no longer stored at the Project level. Instead, they're stored at the Model level under the Pre-Production Environment.
The Model Details page has been updated with a new design. See more here.
Client version 3.0+ is required for the updates and features mentioned in this release.
We are launching Client 3.x, this is revamped client 2.x as we move to more object oriented based methods. This means, any pipeline setup in client 2.x would eventually be required to upgrade to the new methods. Client 2.x will sunset approximately 6 months post this release. Please take a look at the below resources to help you understand client 3.x and also how you can upgrade your pipelines:
All IDs will be UUIDs instead of strings.
Dataset deletion is not allowed anymore.
For API level changes and updates please check client history
