Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE'05
Project description
quantile-estimator
Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE’05
Installation
pip install quantile-estimator==0.1.1
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file quantile-estimator-0.1.1.tar.gz
.
File metadata
- Download URL: quantile-estimator-0.1.1.tar.gz
- Upload date:
- Size: 7.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2bad2090bad032a4f544d5a57f1aaac467b34a2acc0bb94c6719c6cc368dc8b8 |
|
MD5 | 10364184060be68a1449ad96564fa4ce |
|
BLAKE2b-256 | dec62ec2efa047bc347e93a214ac9b5eac37c4fe8fb59b36e1bda15816f52b2e |
File details
Details for the file quantile_estimator-0.1.1-py3-none-any.whl
.
File metadata
- Download URL: quantile_estimator-0.1.1-py3-none-any.whl
- Upload date:
- Size: 8.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.3
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f27d007c568e2f3319b38275c5fc344517e0cf0a8c1b607aeaff060a187e73ce |
|
MD5 | 2e643f2c95c45afc0b7906117af05f97 |
|
BLAKE2b-256 | 549e3f9728c1767f2aa4c6ac91c108f31687da2aa6a87b8b749b5f3230673045 |