n2p2 - A neural network potential package
- a -
AF_COS :
nnp::NeuralNetwork
AF_EXP :
nnp::NeuralNetwork
AF_GAUSSIAN :
nnp::NeuralNetwork
AF_HARMONIC :
nnp::NeuralNetwork
AF_IDENTITY :
nnp::NeuralNetwork
AF_LOGISTIC :
nnp::NeuralNetwork
AF_RELU :
nnp::NeuralNetwork
AF_REVLOGISTIC :
nnp::NeuralNetwork
AF_SOFTPLUS :
nnp::NeuralNetwork
AF_TANH :
nnp::NeuralNetwork
AF_UNSET :
nnp::NeuralNetwork
- c -
CT_COS :
nnp::CutoffFunction
CT_EXP :
nnp::CutoffFunction
CT_HARD :
nnp::CutoffFunction
CT_POLY1 :
nnp::CutoffFunction
CT_POLY2 :
nnp::CutoffFunction
CT_POLY3 :
nnp::CutoffFunction
CT_POLY4 :
nnp::CutoffFunction
CT_TANH :
nnp::CutoffFunction
CT_TANHU :
nnp::CutoffFunction
- d -
DT_ADAM :
nnp::GradientDescent
DT_FIXED :
nnp::GradientDescent
- j -
JM_FULL :
nnp::Training
JM_SUM :
nnp::Training
JM_TASK :
nnp::Training
- k -
KT_FADINGMEMORY :
nnp::KalmanFilter
KT_STANDARD :
nnp::KalmanFilter
- m -
MS_FANIN :
nnp::NeuralNetwork
MS_GLOROTBENGIO :
nnp::NeuralNetwork
MS_NGUYENWIDROW :
nnp::NeuralNetwork
MS_PRECONDITIONOUTPUT :
nnp::NeuralNetwork
MS_ZEROBIAS :
nnp::NeuralNetwork
MS_ZEROOUTPUTWEIGHTS :
nnp::NeuralNetwork
- p -
PM_TRAIN_ALL :
nnp::Training
PM_TRAIN_RK0 :
nnp::Training
- r -
RUNNING :
nnp::Stopwatch
- s -
SM_RANDOM :
nnp::Training
SM_SORT :
nnp::Training
SM_THRESHOLD :
nnp::Training
ST_CENTER :
nnp::SymFnc
ST_NONE :
nnp::SymFnc
ST_SCALE :
nnp::SymFnc
ST_SCALECENTER :
nnp::SymFnc
ST_SCALESIGMA :
nnp::SymFnc
ST_TEST :
nnp::Structure
ST_TRAINING :
nnp::Structure
ST_UNKNOWN :
nnp::Structure
ST_VALIDATION :
nnp::Structure
STOPPED :
nnp::Stopwatch
- u -
US_COMBINED :
nnp::Training
US_ELEMENT :
nnp::Training
UT_GD :
nnp::Training
UT_KF :
nnp::Training
UT_LM :
nnp::Training
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