Skip to main content

NK Artificial Intelligence

Welcome to NKIA or NKAI in English. This project is used to categorize products based on its caracteristics, there is 29 different classes of food products. Another usage is to distinguish between food and non-food products.

Requirements

  • Install requirements:

    • pip install -r requirements.txt --user
  • Install NLTK stopwords:

    • python -m nltk.downloader stopwords

Usage

  • Import classify class:
    • from nkia.ml.classify_products import ClassifyProducts as cp
  • Predict product class:
    • cp().inference_from_category_model(product_name=['frozen fish'])
    • Returns: String containing the predicted class name
  • Parameters:
    • inference_from_category_model(ingredients=[''], allergics=[''], description=[''], product_name=[''])
    • All the parameters must be in a single string format.
  • Predict if product is a food or not:
    • cp().inference_from_food_model(product_name=['chocolate cake'])
    • Returns: String 'food' or 'not food'
    • Note: Food classifier just has the product name as parameter.

Examples

  • cp().inference_from_category_model(ingredients=['sugar salt vanilla orange'], allergics=['peanuts'], description=['this is an awesome product, hummmm'], product_name=['very delicious candy'])

Metadata

Release files for nkia 1.9.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nkia 1.9.1
File Size Uploaded
nkia-1.9.1.tar.gz 42.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for nkia 1.9.1
File Interpreter ABI Platform
nkia-1.9.1-py3-none-any.whl Python 3 none any Details

Total release size: 52.8 kB

Release files / nkia-1.9.1.tar.gz

Download URL nkia-1.9.1.tar.gz
Size 42.9 kB
Tags Source
SHA-256 checksum
How to use checksums
5832105b8c29bcf190f16c9e4f00fbdac1f2fe1c0214349ce7a949fe12d4b0e7
BLAKE2b-256 checksum
How to use checksums
7515e515a5d08429b29c27ec333691eb801830d02876cee5cd5a61246487e3b1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.9

Release files / nkia-1.9.1-py3-none-any.whl

Download URL nkia-1.9.1-py3-none-any.whl
Size 9.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
960fd04cb32ea5c2099f795081a136ccb11bb38e4fe6cd26aab28cf6f487966c
BLAKE2b-256 checksum
How to use checksums
fda1e4db7d13303ea9cc4902deab0ce59322591717aceebedc252fc5c84faf4e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.6.9

Release history Release notifications | RSS feed

This release

1.9.1 This release

2 release files

1.8.1

2 release files

1.7.1

2 release files

1.6.1

2 release files

1.5.1

2 release files

1.4.1

2 release files

1.3.1

2 release files

1.2.1

2 release files

1.1.1

2 release files

1.0.1

2 release files

1.0.0

2 release files

0.10.0

2 release files

0.9.0

2 release files

0.8.0

2 release files

0.7.0

2 release files

0.6.0

1 release file

0.5.1

1 release file

0.5.0

1 release file

0.4.0

1 release file

0.3.1

1 release file

0.3.0

2 release files

0.2.0

1 release file

0.1.5

1 release file

0.1.2

2 release files

0.1.1

2 release files

0.1.0

1 release file

0.0.9

1 release file

0.0.8

1 release file

0.0.7

1 release file

0.0.6

1 release file

0.0.5

1 release file

0.0.4

1 release file

0.0.3

1 release file

0.0.2

1 release file

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page