Package | Description |
---|---|
hep.aida.tfloat.bin |
Multisets (bags) with efficient statistics operations defined upon; This package
requires the Colt distribution.
|
Modifier and Type | Class and Description |
---|---|
class |
DynamicFloatBin1D
1-dimensional rebinnable bin holding float elements; Efficiently
computes advanced statistics of data sequences.
|
class |
QuantileFloatBin1D
1-dimensional non-rebinnable bin holding float elements with
scalable quantile operations defined upon; Using little main memory, quickly
computes approximate quantiles over very large data sequences with and even
without a-priori knowledge of the number of elements to be filled;
Conceptually a strongly lossily compressed multiset (or bag); Guarantees to
respect the worst case approximation error specified upon instance
construction.
|
Modifier and Type | Method and Description |
---|---|
MightyStaticFloatBin1D[] |
QuantileFloatBin1D.splitApproximately(FloatArrayList percentages,
int k)
Divides (rebins) a copy of the receiver at the given percentage
boundaries into bins and returns these bins, such that each bin
approximately reflects the data elements of its range.
|
MightyStaticFloatBin1D[] |
QuantileFloatBin1D.splitApproximately(FloatIAxis axis,
int k)
Divides (rebins) a copy of the receiver at the given interval
boundaries into bins and returns these bins, such that each bin
approximately reflects the data elements of its range.
|
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