Batch Processing

Algorithm Input

The quantile algorithm accepts the input described below. Pass the Input ID as a parameter to the methods that provide input for your algorithm. For more details, see Algorithms.

Input ID	Input
data	Pointer to the `n` x `p` numeric table that contains the input data set. This table can be an object of any class derived from NumericTable.

Algorithm Parameters

The quantile algorithm has the following parameters:

Parameter	Default Value	Description
algorithmFPType	double	The floating-point type that the algorithm uses for intermediate computations. Can be float or double.
method	defaultDense	Performance-oriented computation method, the only method supported by the algorithm.
quantileOrders	0.5	The 1 x `m` numeric table with quantile orders.

Algorithm Output

The quantile algorithm calculates the result described below. Pass the Result ID as a parameter to the methods that access the results of your algorithm. For more details, see Algorithms.

Result ID	Result
quantiles	Pointer to the `p` x `m` numeric table with the quantiles. By default, this result is an object of the HomogenNumericTable class, but you can define the result as an object of any class derived from NumericTable except PackedSymmetricMatrix, PackedTriangularMatrix, and CSRNumericTable.

Examples

C++: quantiles_batch.cpp

Java*: QuantilesBatch.java