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