Package index

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()

Fit a Deep Learning Estimator

gridCvDeep()

Tune a Deep Learning Estimator

predictDeepEstimator()

Predict with a Deep Learning Estimator

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 Model Settings with Custom Embeddings

setDefaultResNet()

Create Default ResNet Settings

setDefaultTransformer()

Create default settings for a non-temporal transformer

setEstimator()

Create Estimator Settings

setFinetuner()

Create Fine-Tuning Settings

setMultiLayerPerceptron()

Create Multilayer Perceptron Settings

setRealMLP()

Create RealMLP Settings

setResNet()

Create ResNet Settings

setTransformer()

Create Transformer Settings

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