stanscofi and benchscofi - stanscofi v2.0.1

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.

CHANGELOG: - fixed the "long loop" error in function weaklycorrelatedsplit in training_testing module

Scientific Software - Peer-reviewed - Python
Published by RECeSS-EU-Project almost 2 years ago

stanscofi and benchscofi - stanscofi v2.0.0

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.

Scientific Software - Peer-reviewed - Python
Published by RECeSS-EU-Project over 2 years ago

stanscofi and benchscofi - stanscofi v1.1.0

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.

Scientific Software - Peer-reviewed - Python
Published by RECeSS-EU-Project over 2 years ago

stanscofi and benchscofi - stanscofi v1.0.4

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.

CHANGELOG: fixed index error in validation methods.

Scientific Software - Peer-reviewed - Python
Published by RECeSS-EU-Project over 2 years ago

stanscofi and benchscofi - stanscofi v1.0.3

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.

Scientific Software - Peer-reviewed - Python
Published by RECeSS-EU-Project over 2 years ago

stanscofi and benchscofi - stanscofi v1.0.1

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.

Scientific Software - Peer-reviewed - Python
Published by RECeSS-EU-Project over 2 years ago