# probstructs Release 0.2.8

Probabilistic data structures

Keywords
probabilistic, structures, exponential, count–min, sketch, histogram, data-structures, probabilistic-programming, python, stream-processing
MIT
Install
``` pip install probstructs==0.2.8 ```

# Probabilistic Structures

`Probstructs` is easy to use Python wrapper for C++ library probstructs . It supports Exponential Histograms, Count Min Sketch (CM-Sketch), and Exponential Count Min Sketch (ECM-Sketch).

## Installation

With pip:

`pip install probstructs`

From source:

`pip install .`

## Classes

### CountMinSketch

Count–min sketch (CM sketch) is a probabilistic data structure that serves as a frequency table of events in a stream of data. It uses hash functions to map events to frequencies, but unlike a hash table uses only sub-linear space, at the expense of overcounting some events due to collisions.

```from probstructs import CountMinSketch

cm_sketch = CountMinSketch(100, 4)
cm_sketch.inc("aaa", 1)
cm_sketch.inc("bbb", 5)
cm_sketch.inc("aaa", 2)

print(cm_sketch.get("aaa"))
# 3
print(cm_sketch.get("bbb"))
# 5
print(cm_sketch.get("ccc"))
# 0

cm_sketch = CountMinSketch(width=100, depth=4)
cm_sketch.inc(key="bbb", delta=5)
print(cm_sketch.get(key="bbb"))
# 5```

### ExponentialHistorgram

Exponential histogram (EH) is a probabilistic data structure that serves as a frequency counter for specific elements in the last N elements from stream..

```from probstructs import ExponentialHistorgram

eh = ExponentialHistorgram(1)
eh.inc(1, 1)
print(eh.get(1, 1))
# 1
eh.inc(1, 1)
print(eh.get(1, 1))
# 2
eh.inc(2, 1)
print(eh.get(1, 2))
# 1

eh = ExponentialHistorgram(window=1)
eh.inc(tick=1, delta=1)
print(eh.get(window=1, tick=1))
# 1
eh.inc(tick=1, delta=1)
print(eh.get(window=1, tick=1))
# 2
eh.inc(tick=2, delta=1)
print(eh.get(window=1, tick=2))
# 1```

### ExponentialCountMinSketch

Exponential count-min sketch (ECM-Sketch) combines CM-Sketch with EH to count number of different elements in the last N elements in the stream.

```from probstructs import ExponentialCountMinSketch

ecm_sketch = ExponentialCountMinSketch(100, 4, 8)

ts = 0
ecm_sketch.inc("aaa", ts, 1)
ecm_sketch.inc("bbb", ts, 4)
ecm_sketch.inc("ccc", ts, 8)

print(ecm_sketch.get("aaa", 4, ts))
# 1
print(ecm_sketch.get("bbb", 4, ts))
# 4
print(ecm_sketch.get("ccc", 4, ts))
# 8
print(ecm_sketch.get("ddd", 4, ts))
# 0

ecm_sketch = ExponentialCountMinSketch(width=100, depth=4, window=8)

ts = 0
ecm_sketch.inc(key="aaa", tick=ts, delta=1)
ecm_sketch.inc(key="bbb", tick=ts, delta=4)
ecm_sketch.inc(key="ccc", tick=ts, delta=8)

print(ecm_sketch.get(key="aaa", window=4, tick=ts))
# 1
print(ecm_sketch.get(key="bbb", window=4, tick=ts))
# 4
print(ecm_sketch.get(key="ccc", window=4, tick=ts))
# 8
print(ecm_sketch.get(key="ddd", window=4, tick=ts))
# 0```
```.. toctree::
:maxdepth: 3
:caption: Contents:

CHANGES
API
DEVELOPMENT

```

:ref:`genindex`