| 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 |
AbstractFloatBin1D
Abstract base class for all 1-dimensional bins consumes float
elements.
|
class |
DynamicFloatBin1D
1-dimensional rebinnable bin holding float elements; Efficiently
computes advanced statistics of data sequences.
|
class |
MightyStaticFloatBin1D
Static and the same as its superclass, except that it can do more:
Additionally computes moments of arbitrary integer order, harmonic mean,
geometric mean, etc.
|
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.
|
class |
StaticFloatBin1D
1-dimensional non-rebinnable bin consuming float elements;
Efficiently computes basic statistics of data sequences.
|
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