Man pages for SantanderMetGroup/downscaleR.keras
A climate4R package for statistical downscaling <http://meteo.unican.es/climate4r>

axiom_completenessVerifies the axiom of completeness.
bernouilliGammaLossCustom loss function for Bernouilli-Gamma distributions.
computeRainfallCompute the amount of precipitation given the parameters of a...
computeTemperatureSample from the daily conditional gaussian distributions.
condProbDistInfer a multivariate conditional distribution.
downscaleCV.kerasDownscale climate data and reconstruct the temporal serie by...
downscalePredictHidden.kerasObtain the output of the hidden layers in a deep learning...
downscalePredict.kerasDownscale climate data for a a previous defined deep learning...
downscaleTrain.kerasTrain a deep model with keras in the climate4R framework
gaussianLossCustom loss function for Gaussian distributions.
get_gradientsComputes the gradients of the neural network.
get_integrated_gradientsComputes the integrated gradients of the neural network.
integratedGradientsComputes integrated gradients for a neural network in the C4R...
jointProbDistInfer a multivariate joint distribution.
prepareData.kerasConfiguration of data for downscaling with a keras model
prepareNewData.kerasPrepare newdata for predictions going to be donw with a keras...
relevanceMapsObtain relevance maps as a climate4R object
sampleMultivariateGaussianSample from a multivariate conditional distribution.
SantanderMetGroup/downscaleR.keras documentation built on July 7, 2023, 1:22 p.m.