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-1.1.5.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-1.1.5-py3-none-any.whl (18.6 kB view details)

Uploaded Python 3

File details

Details for the file linkedlabs-1.1.5.tar.gz.

File metadata

  • Download URL: linkedlabs-1.1.5.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-1.1.5.tar.gz
Algorithm Hash digest
SHA256 a0459d5a07dceeb27272361a2237d16db506fffd2346395048451f9a6a2ae7ce
MD5 065d65e8e8336a82186afb87a4407301
BLAKE2b-256 d90e0d08b867a91ef8f282f1a7cbf4fe281738c2021bd7851be48e5d5c51a381

See more details on using hashes here.

File details

Details for the file linkedlabs-1.1.5-py3-none-any.whl.

File metadata

  • Download URL: linkedlabs-1.1.5-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-1.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 14ee73845054b28bc1046ce9ebbda9685ce472d8053594485d096e25732fc40f
MD5 d9988742a794f0abbaa547f5772af580
BLAKE2b-256 97ecdbc42f9b2bba28273547c3464b04067856b6a52914916c9dc4d89b684fed

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