Bugs and issues fixed Normalized feature values of NaN now equal to 0. NaN values may be generated when both min and max values of a feature are 0. Fixed a hard coded variable in features computation. Fixed the Labelling Quality procedure which was causing an error upon execution. Fixed an issue with the agreement matrix where the numbers were generated into wrong positions. Updated code for the Demo procedure
stable release after fixing minor issues comply with R v4.0 changes add support for matrix-like data...
Added support for different monitor dimensions, related to https://github.com/andreped/super-ml-pets...
Notes It has been a year since the last release. Thanks to the people that contributed to this proje...
Major Changes A number of new functionalities are available: Ability to label whole trajectories...
Major Changes A number of new functionalities are available: Ability to label whole trajectories...
Major updates: Calibrations change because of RNN. The calibration data size will no longer cut to ...
Applications based on Machine learning (ML) are growing in popularity in a multitude of different co...
This release adds new features for specifying baseline distributions when producing absolute predict...
In the last years, Machine Learning (ML) has become extremely used in software systems: it is applie...
Bug fixes Factor columns can now have custom names rather than ENV, GEN, and REP only (#2). New fu...
Bugfixes Bug in statistical inefficiency computation where self.max_n_iterations wasn't being used ...
fix #63 by moving data preparation before period checks fix bug in exponential and boxcar filter. Pr...
Bug fixes Fixed bug in calc_n_samples where the message reported the number of taxa instead of the ...
This deliverable (D4.3 "Pre-processing, normalization, data alignment and data value estimation: Fin...
Version Updates 3.0.0 Add slot weights to MLModel classes. Allow case weights in LMModel for all re...
stable release after fixing minor issues comply with R v4.0 changes add support for matrix-like data...
Added support for different monitor dimensions, related to https://github.com/andreped/super-ml-pets...
Notes It has been a year since the last release. Thanks to the people that contributed to this proje...
Major Changes A number of new functionalities are available: Ability to label whole trajectories...
Major Changes A number of new functionalities are available: Ability to label whole trajectories...
Major updates: Calibrations change because of RNN. The calibration data size will no longer cut to ...
Applications based on Machine learning (ML) are growing in popularity in a multitude of different co...
This release adds new features for specifying baseline distributions when producing absolute predict...
In the last years, Machine Learning (ML) has become extremely used in software systems: it is applie...
Bug fixes Factor columns can now have custom names rather than ENV, GEN, and REP only (#2). New fu...
Bugfixes Bug in statistical inefficiency computation where self.max_n_iterations wasn't being used ...
fix #63 by moving data preparation before period checks fix bug in exponential and boxcar filter. Pr...
Bug fixes Fixed bug in calc_n_samples where the message reported the number of taxa instead of the ...
This deliverable (D4.3 "Pre-processing, normalization, data alignment and data value estimation: Fin...
Version Updates 3.0.0 Add slot weights to MLModel classes. Allow case weights in LMModel for all re...
stable release after fixing minor issues comply with R v4.0 changes add support for matrix-like data...
Added support for different monitor dimensions, related to https://github.com/andreped/super-ml-pets...
Notes It has been a year since the last release. Thanks to the people that contributed to this proje...