Releases: KhiopsML/khiops-python
Releases · KhiopsML/khiops-python
10.2.2.2
10.2.2.2 - 2024-07-19
Fixed
- (
core) Documentation of thespecific_pairsparameter for thetrain_predictorand
train_recodercore API functions.
Deprecated
- (
core) The following parameters of thetrain_predictorcore API functions:max_groupsmax_intervalsmin_group_frequencymin_interval_frequencyresults_prefixsnb_predictorunivariate_predictor_numberdiscretization_methodfor supervised learninggrouping_methodfor supervised learning
10.2.2.1
Release date: 2024-07-05
Changed
- Internals:
- The OpenMPI backend now executes with the
--allow-run-as-rootoption.
- The OpenMPI backend now executes with the
10.2.2.0
Release date: 2024-07-03
Added
- (
sklearn) Support for sparse arrays in sklearn estimators.
Changed
- Internals:
- MPI backend from MPICH to OpenMPI for native + Pip-based Linux installations.
Fixed
core- Metric name search in estimator analyis report.
10.2.2.0-rc.1
For testing purposes only
10.2.1.0
Release Date: 2024-03-26
For installation instructions see https://khiops.org
Added
sklearn: 1:1 relations to multi-table datasets.sklearn: Estimators'fitmethods now accept single-column pandas dataframes asytarget.
Changed
core: Improve user error and warning messaging.
Fixed
- General: Reinstate Rocky Linux 8 support.
10.2.0.0
Note: This release marks the open sourcing of Khiops:
- The
khiops-pythonreplaces the oldpykhiopspackage. We recommend to uninstallpykhiops
before installingkhiops-python. More information at the Khiops website. khiops-pythonuses a new four digit versioning convention.- The
khiopsconda package is available for many environments. See the Khiops website
for more information.
Added
- General:
khiops-pythonis now available with condakhiopspackage. This package bundles
khiops-pythonand the Khiops binaries so no system-wide Khiops installation is needed. More
information at the Khiops website.- Support for python 3.12.
sklearn- Estimator classes can now be trained from Numpy arrays in single-table mode.
corestdout_file_pathandstderr_file_pathparameters forkhiops.core.apifunctions. These
parameters allow to save the stdout/stderr output of the Khiops execution.
Changed
sklearn- Estimator classes now comply with scikit-learn standards.
core- The JSON initialization of
AnalysisResults,CoclusteringResultsand its component classes
is coherent with the empty initialization.
- The JSON initialization of