Get the monotone constraints of the Dataset. Returns ------- monotone_constraints : numpy array or None Monotone

Get parameters for this estimator. Parameters ---------- deep : bool, optional (default=True) If True, will retur

Check whether data is a 1-D list.

returns true if the device is an amd cpu or gpu

Creates a StructWithArray containing 'x', 'y', 'z'.

! \brief Get number of leaves */

! \brief Get number of leaves */

Enqueues a command to acquire the specified OpenGL memory objects. \see_opencl_ref{clEnqueueAcquireGLObjects}

Enqueues a command to release the specified OpenGL memory objects. \see_opencl_ref{clEnqueueReleaseGLObjects}

Returns the origin of the texture (\c 0, \c 0).

Parse the constraint. Parameters ---------- check : string String representation of the constraint. rever

return a random float between lo and hi

Set categorical features. Parameters ---------- categorical_feature : list of int or strings Names or indices of

Set init score of Booster to start from. Parameters ---------- init_score : list, numpy 1-D array, pandas Series or None

Set the parameters of this estimator. Parameters ---------- **params Parameter names with their new values.

Returns the size of the dynamic bitset.

returns true if the device supports the partitioning type

! * \brief Set string message of the last error. * \param msg Error message */

! * \brief Set string message of the last error. * \param msg Error message */

! * \brief Get index of label column * \return index of label column */

! * \brief Get index of label column * \return index of label column */

! * \brief Handle of error message. * \return Error message */

! * \brief Handle of error message. * \return Error message */