Visible to Intel only — GUID: GUID-81CF6179-61ED-4937-B2D5-382763E00922
Visible to Intel only — GUID: GUID-81CF6179-61ED-4937-B2D5-382763E00922
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 |
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 |
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 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: