axiom_completeness | Verifies the axiom of completeness. |
bernouilliGammaLoss | Custom loss function for Bernouilli-Gamma distributions. |
computeRainfall | Compute the amount of precipitation given the parameters of a... |
computeTemperature | Sample from the daily conditional gaussian distributions. |
condProbDist | Infer a multivariate conditional distribution. |
downscaleCV.keras | Downscale climate data and reconstruct the temporal serie by... |
downscalePredictHidden.keras | Obtain the output of the hidden layers in a deep learning... |
downscalePredict.keras | Downscale climate data for a a previous defined deep learning... |
downscaleTrain.keras | Train a deep model with keras in the climate4R framework |
gaussianLoss | Custom loss function for Gaussian distributions. |
get_gradients | Computes the gradients of the neural network. |
get_integrated_gradients | Computes the integrated gradients of the neural network. |
integratedGradients | Computes integrated gradients for a neural network in the C4R... |
jointProbDist | Infer a multivariate joint distribution. |
prepareData.keras | Configuration of data for downscaling with a keras model |
prepareNewData.keras | Prepare newdata for predictions going to be donw with a keras... |
relevanceMaps | Obtain relevance maps as a climate4R object |
sampleMultivariateGaussian | Sample from a multivariate conditional distribution. |
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