Unreleased
iai 1.8.0
- Introduce more generic functions to better cover and match Julia
functionality
- Add
resume_from_checkpoint
- Add
acquire_license/release_license
iai 1.7.0
- Add
cleanup_installation
- Deprecate
impute and impute_cv
- Add
predict_reward
- Use official julialang.org binaries in
install_julia
- Support additional args in
variable_importance
- Add
get_machine_id
- Add
glmnetcv_classifier
- Add direct score calculation
- Add tree refitting functions
iai 1.6.0
- Add
add_julia_processes
- Add tree stability analysis functions
- Add
get_features_used
- Add support for IAI v2.2 RewardEstimation interface
- Add
predict_shap
- Add
plot/autoplot functions for
roc_curve and grid_search
iai 1.5.0
- Add
install_julia and install_system_image
for automatic installation
- Add
get_grid_result_details
- Rename
get_grid_results to
get_grid_result_summary
iai 1.4.0
- Add support for IAI v2.1 RewardEstimation interface
- Add support for Heuristics
- Add
get_roc_curve_data
- Add
predict_treatment_rank and
predict_treatment_outcome
- Add
get_policy_treatment_outcome,
get_survival_expected_time, and
get_survival_hazard
- Add
write_pdf and write_svg to output
trees as static images
iai 1.3.0
- Add support for Optimal Policy Trees
- Add support for
reward_estimator for prescription
problems
- Add
predict_expected_survival_time for survival
learners
- Add direct
roc_curve calculation from probabilities and
labels
optimal_tree_survivor has been deprecated and renamed
to optimal_tree_survival_learner to match the IAI Julia
interface.
iai 1.2.0
- Allow specifying Julia location with
IAI_JULIA
environment variable
- Fixes to ensure
iai_setup is run before any Julia
functions are called
- Support for CategoricalArrays.jl v0.7.7
- Add
predict_hazard for survival learners
iai 1.1.0
- Add API for Optimal Feature Selection and advanced tree
visualization
- Display visualizations in the viewer if available
- Update titles of documentation pages
- No longer need to run
iai_setup() before using
iai functions
iai 1.0.0