ModelResults-class: ModelResults class
In ncats/MultiOmicsGraphPrediction: Network-Based Ensemble Prediction from IntLIM Predictors
ModelResults-class R Documentation
ModelResults class
Description
ModelResults class
Slots
model.inputAn object of the modelInput class.
iteration.trackingA data frame to track the iteration, weight, and error
values for each iteration of training.
max.iterationsMaximum number of iterations.
convergence.cutoffCutoff for convergence.
learning.rateLearning rate used during training.
current.metaFeature.weightsMetafeature weights used in the current iteration.
current.gradientGradient calculated for this iteration.
optimization.typeOne of "SGD", "momentum", "adagrad", or "adam"
current.iterationIteration (changes at each time step)
previous.momentumMomentum value used in momentum optimization
previous.update.vectorPrevious value used to update weights, used in ADAM
optimization
sum.square.gradientsSum of squared gradients over iterations, used in
Adagrad optimization
pairsThe final set of pairs in the model
previous.metaFeature.weightsMetafeature weights from the previous iteration
ncats/MultiOmicsGraphPrediction documentation built on Aug. 23, 2023, 9:19 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| ModelResults-class | R Documentation |
ModelResults class
Description
ModelResults class
Slots
model.inputAn object of the modelInput class.
iteration.trackingA data frame to track the iteration, weight, and error values for each iteration of training.
max.iterationsMaximum number of iterations.
convergence.cutoffCutoff for convergence.
learning.rateLearning rate used during training.
current.metaFeature.weightsMetafeature weights used in the current iteration.
current.gradientGradient calculated for this iteration.
optimization.typeOne of "SGD", "momentum", "adagrad", or "adam"
current.iterationIteration (changes at each time step)
previous.momentumMomentum value used in momentum optimization
previous.update.vectorPrevious value used to update weights, used in ADAM optimization
sum.square.gradientsSum of squared gradients over iterations, used in Adagrad optimization
pairsThe final set of pairs in the model
previous.metaFeature.weightsMetafeature weights from the previous iteration
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.