fit_xgb: Fit a gradient boosting regression model with XGBoost

In quadbiolab/Pando: Inferring regulomes from multi-modal single-cell genomics data

Fit a gradient boosting regression model with XGBoost

Description

Fit a gradient boosting regression model with XGBoost

Usage

fit_xgb(
  formula,
  data,
  params = list(max_depth = 3, eta = 0.01, objective = "reg:squarederror"),
  nrounds = 1000,
  nthread = -1,
  ...
)

Arguments

formula	An object of class formula with a symbolic description of the model to be fitted.
data	A data.frame containing the variables in the model.
params	A list with model parameters. For details, see xgboost
nrounds	Max number of boosting iterations.
...	Other parameters for the model fitting function.

Value

A list with two data frames: gof contains goodness of fit measures of the fit and coefs contains the fitted coefficients.

quadbiolab/Pando documentation built on April 22, 2024, 8:14 a.m.