Package index • DeepPatientLevelPrediction

All functions

DeepPatientLevelPrediction-package DeepPatientLevelPrediction: DeepPatientLevelPrediction

camelCaseToSnakeCase(): Convert a camel case string to snake case

camelCaseToSnakeCaseNames(): Convert the names of an object from camel case to snake case

checkFileExists(): helper function to check if a file exists

checkHigher(): helper function to check that input is higher than a certain value

checkHigherEqual(): helper function to check that input is higher or equal than a certain value

checkIsClass(): helper function to check class of input

expandComponentGrid(): Expand a Component's Hyperparameter Grid

fitEstimator(): fitEstimator

gridCvDeep(): gridCvDeep

predictDeepEstimator(): predictDeepEstimator

py_to_r(<polars.dataframe.frame.DataFrame>): Use polars instead of pandas for default conversion from python to R

r_to_py(<data.frame>): Use polars instead of pandas for default conversion from R to Python

setCustomEmbeddingModel(): Create default settings a model using custom embeddings

setDefaultResNet(): setDefaultResNet

setDefaultTransformer(): Create default settings for a non-temporal transformer

setEstimator(): setEstimator

setFinetuner(): setFinetuner

setMultiLayerPerceptron(): setMultiLayerPerceptron

setResNet(): setResNet

setTransformer(): create settings for training a transformer

snakeCaseToCamelCase(): Convert a camel case string to snake case

snakeCaseToCamelCaseNames(): Convert the names of an object from snake case to camel case

torch: Pytorch module

trainingCache: TrainingCache