! * \brief Generate random integer, int16 range. [0, 65536] * \param lower_bound lower bound * \param upper_bound upper bound * \return The ra

! * \brief Generate random integer, int16 range. [0, 65536] * \param lower_bound lower bound * \param upper_bound upper bound * \return The ra

! * \brief Sample K data from {0,1,...,N-1} * \param N * \param K * \return K Ordered sampled data from {0,1,...,N-1} */

! * \brief Sample K data from {0,1,...,N-1} * \param N * \param K * \return K Ordered sampled data from {0,1,...,N-1} */

Returns the underlying event object.

Get property from the Dataset. Parameters ---------- field_name : string The field name of the information.

Blocks until the actions corresponding to the event have completed.

! \brief Set the output of one leaf */

! \brief Set the output of one leaf */

Get names of features. Returns ------- result : list List with names of features.

! \brief Missing Type */

! \brief Missing Type */

Save Booster to file. Parameters ---------- filename : string Filename to save Booster. num_iteration : i

! * \brief Get data for the specific index * \param idx which index want to get * \param out output data will store into this * \return True i

! * \brief Get data for the specific index * \param idx which index want to get * \param out output data will store into this * \return True i

Check object is not tuple or does not have 2 elements.

Get the raw data of the Dataset. Returns ------- data : string, numpy array, pandas DataFrame, H2O DataTable's Frame, scipy.s

Returns a pointer to the \c cl_image_format object.

Convert data to numpy 1-D array.

! \brief Get number of bins */

! \brief Get number of bins */

! \brief Get Number of total features */

! \brief Get Number of total features */

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

! \brief Pointer of score */

Get subset of current Dataset. Parameters ---------- used_indices : list of int Indices used to create the subset

Returns the type of the device.

Returns the name of the vendor for the device.

! \brief Get the output of one leaf */

! \brief Get the output of one leaf */

! * \brief Get max feature index of this model * \return Max feature index of this model */

! * \brief Get max feature index of this model * \return Max feature index of this model */

! * \brief Shrinkage for the tree's output * shrinkage rate (a.k.a learning rate) is used to tune the training process * \param rate The

! * \brief Shrinkage for the tree's output * shrinkage rate (a.k.a learning rate) is used to tune the training process * \param rate The

label should be in interval [0, 1]; prob should be in interval (0, 1); prob is clipped if needed

label should be in interval [0, 1]; prob should be in interval (0, 1); prob is clipped if needed

Returns the build log.

Returns the capacity of the vector.

esc(c) * * Format char c suitable for printing in an error message. */

esc(c) * * Format char c suitable for printing in an error message. */

Return the predicted probability for each class for each sample. Parameters ---------- X : array-like or sparse matrix of sha

! \brief Pointer of score */

Blocks until the computation is complete.