R: Machine Learning Pipelines for R

# Machine Learning Pipelines for R

## Documentation for package ‘pipeliner’ version 0.1.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

pipeliner-package | pipeliner: machine learning pipelines for R
cbind_fast | Faster alternative to 'cbind_fast'
check_data_frame_throw_error | Validate ml_pipeline_builder transform method returns data.frame
check_predict_method_throw_error | Validate estimate_model method returns an object with a 'predict' method defined
check_unary_func_throw_error | Validate ml_pipeline_builder transform method is a unary function
estimate_model | Estimate machine learning model
func_error_handler | Custom error handler for printing the name of an enclosing function with error
inv_transform_response | Inverse transform machine learning response variable
ml_pipline_builder | Build machine learning pipelines - object oriented API
pipeline | Build machine learning pipelines - functional API
pipeliner | pipeliner: machine learning pipelines for R
predict.ml_pipeline | Predict method for ML pipelines
predict_model | Generate machine learning model prediction
process_transform_throw_error | Validate and clean transform function output
transform_features | Transform machine learning feature variables
transform_response | Transform machine learning response variable
try_pipeline_func_call | Custom tryCatch configuration for pipeline segment segment functions