Showing 3 of total 3 results (show query)
serkor1
SLmetrics:Machine Learning Performance Evaluation on Steroids
Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applications. Core computations are implemented in 'C++' for scalability and efficiency.
Maintained by Serkan Korkmaz. Last updated 2 days ago.
cppdata-analysisdata-scienceeigen3machine-learningperformance-metricsrcpprcppeigenstatisticssupervised-learningcppopenmp
22 stars 6.56 score
drj001
hett:Heteroscedastic t-Regression
Functions for the fitting and summarizing of heteroscedastic t-regression.
Maintained by Julian Taylor. Last updated 4 years ago.
2.19 score 26 scripts 2 dependents
cran
ternvis:Visualisation, Verification and Calibration of Ternary Probabilistic Forecasts
A suite of functions for visualising ternary probabilistic forecasts, as discussed in the paper by Jupp (2012) <doi:10.1098/rsta.2011.0350>.
Maintained by Tim Jupp. Last updated 1 days ago.
1 stars 1.00 score