Releases: tassiovale/trace2vary
trace2vary with SGD and AutoML methods - statistical results updated
This version of trace2vary have achieved better results using Stochastic Gradient Descent and AutoML machine learning methods, if compared to the traditional Information Retrieval (IR) models: classic vector, extended boolean, BM25 and neural networks.
Descriptive results are available in the 'trace_recovery/results' folder.
In addition the dataset used to validate the whole pipeline was the set of four BSD operating system products:
projects/dragonflybsd
projects/freebsd
projects/netbsd
projects/openbsd
The results for such projects are available in the 'output/trace2vary_result.html' file.
trace2vary with SGD and AutoML methods, validated with BSD products
This version of trace2vary have achieved better results using Stochastic Gradient Descent and AutoML machine learning methods, if compared to the traditional Information Retrieval (IR) models: classic vector, extended boolean, BM25 and neural networks.
Descriptive results are available in the 'trace_recovery/results' folder.
In addition the dataset used to validate the whole pipeline was the set of four BSD operating system products:
projects/dragonflybsd
projects/freebsd
projects/netbsd
projects/openbsd
The results for such projects are available in the 'output/trace2vary_result.html' file.