Visible to Intel only — GUID: GUID-D255C5D5-B8F6-4950-BF15-53EA4D1CD311
Visible to Intel only — GUID: GUID-D255C5D5-B8F6-4950-BF15-53EA4D1CD311
Quantile
Quantile is an algorithm to analyze the distribution of observations. Quantiles are the values that divide the distribution so that a given portion of observations is below the quantile.
Details
Given a set X of p features and the quantile orders , the problem is to compute that meets the following conditions:
In the equations above:
are observations of a random variable that represents the i-th feature
P is the probability measure
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 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 |
float |
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 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 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++ (CPU)
Batch Processing:
Python*
Batch Processing: