Skip to main content

Get Similar customers (or rows) in data using DNA Matching Algorithms and Artificial Intelligence on your data!

Project description

linkedlabs

This project is created as a Generic solution to find most similar rows(or customers) in a given dataset using DNA matching Algorithms and Artificial Intelligence.

Installation

Run the following to install:

pip install linkedlabs

Usage

from linkedlabs import get_similarities
import pandas as pd
df = pd.read_pickle("your_pandas_dataframe.pkl") ## Any pandas dataframe
similarity_df = get_similarities(df)

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

linkedlabs-1.1.6.tar.gz (17.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

linkedlabs-1.1.6-py3-none-any.whl (18.6 kB view details)

Uploaded Python 3

File details

Details for the file linkedlabs-1.1.6.tar.gz.

File metadata

  • Download URL: linkedlabs-1.1.6.tar.gz
  • Upload date:
  • Size: 17.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.10.1 pkginfo/1.4.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for linkedlabs-1.1.6.tar.gz
Algorithm Hash digest
SHA256 e9f617adcf84d94459d7360aed316e94a65081d392e1a0678a6c7ec7043a8a12
MD5 187a8cd1f2d227ee986f8fc6997662fe
BLAKE2b-256 d7b8904b29d57d7c01dbdbaaea0e5be8d986f71987a62c1f45af810debc25c69

See more details on using hashes here.

File details

Details for the file linkedlabs-1.1.6-py3-none-any.whl.

File metadata

  • Download URL: linkedlabs-1.1.6-py3-none-any.whl
  • Upload date:
  • Size: 18.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.10.1 pkginfo/1.4.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.7

File hashes

Hashes for linkedlabs-1.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 cf48b79ab0548bfc3b98146fd0708e39547551b51c223c0dc00dd672d02ab634
MD5 534ca1a740d9bc93cb67bf23db2dc187
BLAKE2b-256 4d726b4a37d68cd2b7988f6a1a3085a0d844cdb55a657c3f433a4c07f3ffbb36

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page