Linear Segmentation
linear_segmentation using Bayesian Change Point Segmentation or Circular Binary segmentation.
Install
If you dont already have numpy and scipy installed, it is best to download
Anaconda, a python distribution that has them included.
https://continuum.io/downloads
Dependencies can be installed by:
pip install -r requirements.txt
PyPI install, presuming you have all its requirements installed:
pip install linear_segment
Usage
from linear_segment import segment
import numpy as np
# Create data
np.random.seed(10)
T = 50
x = np.zeros(T)
x[10:20] = 1.0
x[30:40] = 1.0
labels = np.repeat("a", T) # "a" is a dummy label
# Calculate segments
segments = segment(x, labels, method="online_both", cutoff=0.3, offset=5)
print(segments)
LabeledIntervalArray
(0-10, a)
(10-20, a)
(20-30, a)
(30-40, a)
(40-50, a)
segments = segment(x, labels, method="cbs", shuffles=200, p=0.05)
print(segments)
LabeledIntervalArray
(0-10, a)
(10-20, a)
(20-30, a)
(30-40, a)
(40-50, a)
Metadata
Release files for linear-segment 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| linear_segment-1.2.1.tar.gz | 641.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| linear_segment-1.2.1-cp312-cp312-macosx_14_0_x86_64.whl | CPython 3.12 | CPython 3.12 | macOS 14.0+ x86-64 | Details |
Total release size: 1.6 MB
Release files / linear_segment-1.2.1.tar.gz
| Download URL | linear_segment-1.2.1.tar.gz |
|---|---|
| Size | 641.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.3 Darwin/23.6.0
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Release files / linear_segment-1.2.1-cp312-cp312-macosx_14_0_x86_64.whl
| Download URL | linear_segment-1.2.1-cp312-cp312-macosx_14_0_x86_64.whl |
|---|---|
| Size | 911.7 kB |
| Tags | CPython 3.12 macOS 14.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.7.1 CPython/3.11.3 Darwin/23.6.0
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