Pool used in CatBoost as a data structure to train model from.

Implementation of the scikit-learn API for CatBoost classification. Parameters ---------- iterations : int, [default=500] Ma

CatBoost model. Contains training, prediction and evaluation methods.

Type that can hold the length of a run of pages

Tracks whether an object was allocated/deallocated by the same CPU/thread.

Implementation of the scikit-learn API for CatBoost regression. Parameters ---------- Like in CatBoostClassifier, except loss_functi

Begin(state_name) is a Plex action which causes the Scanner to enter the state |state_name|. See the docstring of Plex.Lexicon for more i

Annotation for function names

Sink type for constructing substitutions to pass to WithVars() and Emit().

Duration is microseconds. Could be used to store timeouts, for example.

\ingroup annotations Annotation for arguments

Helper functions for doubles.

* Bad allocation exception. Thrown by ::operator new() if it fails. */

---------- float ----------

This "Do It Yourself Floating Point" class implements a floating-point number with a uint64 significand and an int exponent. Normalized DiyFp numbers