Python Implementation of Graham Cormode and S. Muthukrishnan's Effective Computation of Biased Quantiles over Data Streams in ICDE'05
Project description
UNKNOWN
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
quantile-0.0.1.tar.gz
(3.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
quantile-0.0.1-py2.7.egg
(7.0 kB
view details)
File details
Details for the file quantile-0.0.1.tar.gz.
File metadata
- Download URL: quantile-0.0.1.tar.gz
- Upload date:
- Size: 3.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2aefe79a12ef21e3837b09fe9a8703a21026c50cee0704a5e54b05bf5f088a3d
|
|
| MD5 |
ad46e20ddc57c41e03a435c1c1ac0c7a
|
|
| BLAKE2b-256 |
2a61c2056db951d0485fc29f0ea6b2510d478eadd0b23560780b1e87b68702a3
|
File details
Details for the file quantile-0.0.1-py2.7.egg.
File metadata
- Download URL: quantile-0.0.1-py2.7.egg
- Upload date:
- Size: 7.0 kB
- Tags: Egg
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e6c0ce7b6a4e59448894df8072c1240849177a530c5ab39b51aac87637c3c106
|
|
| MD5 |
b4902650e2e80d140108e6ee838ffce5
|
|
| BLAKE2b-256 |
c3e4dd6de2777ea5d93969096c2cfce7a671a3d4461d5b2c5d011b3429cf87dc
|
