fit_regressor: Train a NGBoostRegressor object
In acca3003/ngboostR: R Wrapper for NGBoost python module
View source: R/ngboostRRegressor.R
Description
Train a NGBoostRegressor object
Usage
1
fit_regressor(ngbr_reg, X_train, Y_train, X_val = NULL, Y_val = NULL)
Arguments
ngbr_reg
NGBoostRegressor obcjet
X_train
Training data. Is an object where samples are in rows and features are in columns.
Y_train
Training data. A numeric vector containing the outcome for each sample.
X_val
validattion data. Is an object where samples are in rows and features are in columns.
Y_val
Validation data A numeric vector containing the outcome for each sample.
acca3003/ngboostR documentation built on Dec. 18, 2021, 10:21 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/ngboostRRegressor.R
Description
Train a NGBoostRegressor object
Usage
1 | fit_regressor(ngbr_reg, X_train, Y_train, X_val = NULL, Y_val = NULL)
|
Arguments
ngbr_reg |
NGBoostRegressor obcjet |
X_train |
Training data. Is an object where samples are in rows and features are in columns. |
Y_train |
Training data. A numeric vector containing the outcome for each sample. |
X_val |
validattion data. Is an object where samples are in rows and features are in columns. |
Y_val |
Validation data A numeric vector containing the outcome for each sample. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.