train_parameter_model: Train Parameter Prediction Model (Use in package)

In SlimR: Machine Learning-Assisted, Marker-Based Tool for Single-Cell and Spatial Transcriptomics Annotation

Train Parameter Prediction Model (Use in package)

Description

Trains machine learning models to predict optimal parameters based on dataset characteristics.

Usage

train_parameter_model(
  training_data,
  method = "ensemble",
  n_models = 3,
  verbose = TRUE
)

Arguments

training_data	Data frame with features and target parameters
method	Machine learning method to use
n_models	Number of models for ensemble learning
verbose	Whether to print training progress

Value

List containing trained model and performance metrics

See Also

Other Section_1_Functions_Use_in_Package: calculate_cluster_variability(), calculate_expression(), calculate_expression_skewness(), calculate_probability(), estimate_batch_effect(), extract_dataset_features(), generate_training_data(), postprocess_parameters(), predict_optimal_parameters()

SlimR documentation built on Dec. 17, 2025, 5:09 p.m.