rolling.hpp File Reference

#include <cudf/rolling/range_window_bounds.hpp>
#include <cudf/types.hpp>
#include <cudf/utilities/export.hpp>
#include <cudf/utilities/memory_resource.hpp>
#include <memory>

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Classes
struct	cudf::window_bounds
	Abstraction for window boundary sizes. More...

Namespaces
	cudf
	cuDF interfaces

Functions
std::unique_ptr< column >	cudf::rolling_window (column_view const &input, size_type preceding_window, size_type following_window, size_type min_periods, rolling_aggregation const &agg, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	cudf::rolling_window (column_view const &input, column_view const &default_outputs, size_type preceding_window, size_type following_window, size_type min_periods, rolling_aggregation const &agg, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	cudf::grouped_rolling_window (table_view const &group_keys, column_view const &input, size_type preceding_window, size_type following_window, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a grouping-aware, fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	cudf::grouped_rolling_window (table_view const &group_keys, column_view const &input, window_bounds preceding_window, window_bounds following_window, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a grouping-aware, fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	cudf::grouped_rolling_window (table_view const &group_keys, column_view const &input, column_view const &default_outputs, size_type preceding_window, size_type following_window, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a grouping-aware, fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	cudf::grouped_rolling_window (table_view const &group_keys, column_view const &input, column_view const &default_outputs, window_bounds preceding_window, window_bounds following_window, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a grouping-aware, fixed-size rolling window function to the values in a column. More...
std::unique_ptr< column >	cudf::grouped_time_range_rolling_window (table_view const &group_keys, column_view const &timestamp_column, cudf::order const &timestamp_order, column_view const &input, size_type preceding_window_in_days, size_type following_window_in_days, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a grouping-aware, timestamp-based rolling window function to the values in a column. More...
std::unique_ptr< column >	cudf::grouped_time_range_rolling_window (table_view const &group_keys, column_view const &timestamp_column, cudf::order const &timestamp_order, column_view const &input, window_bounds preceding_window_in_days, window_bounds following_window_in_days, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a grouping-aware, timestamp-based rolling window function to the values in a column,. More...
std::unique_ptr< column >	cudf::grouped_range_rolling_window (table_view const &group_keys, column_view const &orderby_column, cudf::order const &order, column_view const &input, range_window_bounds const &preceding, range_window_bounds const &following, size_type min_periods, rolling_aggregation const &aggr, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a grouping-aware, value range-based rolling window function to the values in a column. More...
std::unique_ptr< column >	cudf::rolling_window (column_view const &input, column_view const &preceding_window, column_view const &following_window, size_type min_periods, rolling_aggregation const &agg, rmm::cuda_stream_view stream=cudf::get_default_stream(), rmm::device_async_resource_ref mr=cudf::get_current_device_resource_ref())
	Applies a variable-size rolling window function to the values in a column. More...