fit_classifier: Train a NGBoostClassifier object

In acca3003/ngboostR: R Wrapper for NGBoost python module

Description

Train a NGBoostClassifier object

Usage

fit_classifier(ngbr_cla, X_train, Y_train, X_val = NULL, Y_val = NULL)

Arguments

X_train	Training data (numeric). Is an object where samples are in rows and features are in columns.
Y_train	Training data. A numeric (integer) vector containing the outcome for each sample.
X_val	validattion data (numeric). Is an object where samples are in rows and features are in columns.
Y_val	Validation data. A numeric (integer) vector containing the outcome for each sample.
ngbr_reg	NGBoostRegressor obcjet

acca3003/ngboostR documentation built on Dec. 18, 2021, 10:21 p.m.