Error throwed by LightGBM

Booster in LightGBM.

Dataset in LightGBM.

! * \brief A wrapper for random generator */

A _InnerPredictor of LightGBM. Only used for prediction, usually used for continued-train Note: Can convert from Booster, but cannot conv

Exception of early stopping. Parameters ---------- best_iteration : int The best iteration stopped.

! * \brief Used to store some information for gain split point */

Auxiliary data struct to hold all boosters of CV.

! * \brief Auc Metric for binary classification task. */

! * \brief The main entrance of LightGBM. this application has two tasks: * Train and Predict. * Train task will train a new model *

! * \brief Interface for bin data. This class will store bin data for one feature. * unlike OrderedBin, this class will store data by original

! \brief Iterator for one bin column */

! \brief This class used to convert feature values into bin, * and store some meta information for bin*/

! * \brief Error rate metric for binary classification task. */

! * \brief Objective function for binary classification */

! * \brief Log loss metric for binary classification task. */

! \brief Config for Boosting */

! \brief The network structure for all_gather */

Row iterator of on column for CSC matrix

! * \brief The interface for Config */

! * \brief Objective function for cross-entropy (with optional linear weights) */

! * \brief Objective function for alternative parameterization of cross-entropy (see top of file for explanation) */

CrossEntropyLambdaMetric : "xentlambda" : (optional) weights have a different meaning than for "xentropy" ATTENTION: Supposed to be used when the obje

CrossEntropyMetric : "xentropy" : (optional) weights are used linearly

! * \brief DART algorithm implementation. including Training, prediction, bagging. */

! * \brief Static class, used to calculate DCG score */

! * \brief DataPartition is used to store the the partition of data on tree. */

! \brief The main class of data set, * which are used to traning or validation */

! \brief forward declaration */

! \brief forward declaration */

! \brief Fair loss for regression task */ http://research.microsoft.com/en-us/um/people/zhang/INRIA/Publis/Tutorial-Estim/node24.html

! \brief Using to store data and providing some operations on one feature group*/

! * \brief FeatureHistogram is used to construct and store a histogram for a feature. */

! * \brief GBDT algorithm implementation. including Training, prediction, bagging. */

! * \brief GPU-based parallel learning algorithm. */

! \brief Store data for one histogram bin */

! \brief Huber loss for regression task */

! \brief Config for input and output files */

JsonParser * * Object that tracks all state of an in-progress parse. */

KullbackLeiblerDivergence : "kldiv" : (optional) weights are used linearly