| Name : R-ANN2
| |
| Version : 2.3.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.17.4
| Date : 2024-09-12 10:44:33
|
| Group : Development/Libraries/Other
| Source RPM : R-ANN2-2.3.4-lp153.17.4.src.rpm
|
| Size : 1.96 MB
| |
| Packager : (none)
| |
| Summary : Artificial Neural Networks for Anomaly Detection
|
Description :
Training of neural networks for classification and regression tasks
using mini-batch gradient descent. Special features include a function
for training autoencoders, which can be used to detect anomalies, and
some related plotting functions. Multiple activation functions are
supported, including tanh, relu, step and ramp. For the use of the step
and ramp activation functions in detecting anomalies using
autoencoders, see Hawkins et al. (2002) < doi:10.1007/3-540-46145-0_17>.
Furthermore, several loss functions are supported, including robust
ones such as Huber and pseudo-Huber loss, as well as L1 and L2
regularization. The possible options for optimization algorithms are
RMSprop, Adam and SGD with momentum. The package contains a vectorized
C++ implementation that facilitates fast training through mini-batch
learning.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
