Installation
The module, python-interpol requires pandas module to function This module is used to predict the target feature using langranges' interpolation extended to multivariate case by first remove duplicates and ambiguities in the dataset. The first column of the csv file should be that of the target class or feature while the others be independent features affecting target feature.
Usages: python-dupamb
$ pip install python-interpol
$ python-interpol myData.csv 2,3,4,5 0.25,0.25,0.25,0.25
License
MIT
Author
Sahil Ahuja
Metadata
Release files for python-interpol 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| python-interpol-1.0.3.tar.gz | 2.6 kB | Without provenance | Details for python-interpol-1.0.3.tar.gz |
Release files / python-interpol-1.0.3.tar.gz
| Download URL | python-interpol-1.0.3.tar.gz |
|---|---|
| Size | 2.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
675765ba0d400e998a71c791561b066d87bbf329583be07db8d393be50deb56c
|
|
BLAKE2b-256 checksum How to use checksums |
4d0d56d217a3f91c00623da3545a2459ea1c729b67c330486a3a2f8322f89660
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
|
Security for python-interpol 1.0.3
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.