release v0.14.3

SDK:

• hotfix for breaking change in latest version of dependency interpret-core perf_dict api

release v0.14.2

Visualization:

• Categorical cohort fix for explanation dashboard

SDK:

• String class labels fix with mimic explainer
• Add ipython as a dependency to visualization extra
• Fixed credentialed POST requests for predictions in dashboard (tested in notebook VM), and added support for remote VM with public IP
• Update reference to interpret-core to 0.2.1

Test:

• Fix for job retries in pipelines

release v0.14.1

SDK:

• improvements to docstrings/error messages around large datasets

Viz:

• added support for passing errors out of the dashboard for hosts to work with

Testing:

• improved notebook tests
• removed deprecated test pipelines
• added pypi release pipeline (trying it out for this release)

release v0.14.0

SDK

• MLflow log_model-based implementations of log_explanation and get_explanation

Dashboard

• update to categorical handling
• rework internals so hotkeys work better in Jupyter notebooks

Internal

• lots of updates to test pipelines
• README improvements

release v0.12.1

External:

• MLflow functions now accessible from interpret_community.mlflow rather than interpret_community.mlflow.mlflow
• Multiclass visualization available in the new dashboard

Internal:

• tracking URI in MLflow testing now configurable
• linting for TS visualization code
• websocket-extensions upgrades for security
• additional explanation_method information will be passed to the dashboard for display
• pin keras dependency for testing
• added Janhavi as an author!

release v0.12.0

Visualization

• chart improvements
• support for regression in new dashboard
• tooltips for charts
• additional bugfixes

SDK

• rework of explanation serialization code in preparation for MLflow integration
• experimental MLflow log function added

release v0.11.2

• Cohort functionality added to the dashboard
• Improvement in PFI behavior when passing true_labels as a kwarg
• Improve type handling in the list sorting util

release v0.11.1

• add support for passing in a theme object to the dashboard
• fixes for the latest version of scikit-learn
• improve warning/error messaging in the dashboard
• optimize get_ranked_per_class_names() memory usage
• improve PFI error messaging
• improvements to documentation
• workaround for XGBoost and TreeExplainer

release v0.11.0

• v2 version of the dashboard has been added!
• theme improvement for sphinx API documentation
• improvement for port handling within the dashboard
• improvement to scipy sparse import syntax

release v0.10.2

• Dashboard auto focus update
• Bugfix for sparse data on when using MimicExplainer with a linear surrogate for binary classification
• Set up port forwarding so that the dashboard can be shown in Azure environments
• Bugfix for true ys that aren't lists