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@ -533,7 +533,7 @@ cb.cv.predict <- function(save_models = FALSE) {
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#' Callback closure for collecting the model coefficients history of a gblinear booster
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#' during its training.
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#'
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#' @param sparse when set to FALSE/TURE, a dense/sparse matrix is used to store the result.
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#' @param sparse when set to FALSE/TRUE, a dense/sparse matrix is used to store the result.
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#' Sparse format is useful when one expects only a subset of coefficients to be non-zero,
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#' when using the "thrifty" feature selector with fairly small number of top features
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#' selected per iteration.
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