AI-commons Intro

It is designed to provide a reference point for AI beginners to obtain modeling and data.

AI-Sample-Dataset uses

caution

    Before creating a dataset, be sure to create a variable with get_connection.
    And when you are done using the library, please close the connection.

create a variable with get_connection('connection' is a variable name that designates a DB connection.)

    connection = get_connection()

close the connection('connection' is a variable name that designates a DB connection.)

    close_connection(connection)

OneNavi Driving data Sample

Library installation

    pip install kt-ai-commons

Train Dataset Loading

    from kt_ai_commons import dataset
    df_train = dataset.onenavi_train()

Evaluation Dataset Loading

    from kt_ai_commons import dataset
    df_valid = dataset.onenavi_evaluation()

PNU Dataset Loading

    from kt_ai_commons import dataset
    df_valid = dataset.onenavi_pnu()

Signal Dataset Loading

    from kt_ai_commons import dataset
    df_valid = dataset.onenavi_signal()

Weather Dataset Loading

    from kt_ai_commons import dataset
    df_valid = dataset.onenavi_weather()

Accuracy calculation function

    from kt_ai_commons import featureCalculation
    etaa=featureCalculation.cal_etaa(df_valid,et,eta)

Reference : The user is responsible for issues and problems caused by using this library.

Metadata

Release files for kt-ai-commons 1.2.1

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

Built distribution (wheel)

Table of built distributions (wheels) for kt-ai-commons 1.2.1
File	Interpreter	ABI	Platform	Reset
kt_ai_commons-1.2.1-py3-none-any.whl 2.9 kB Feb 18, 2022	Python 3	none	any	Details

Release files / kt_ai_commons-1.2.1-py3-none-any.whl

Download URL	kt_ai_commons-1.2.1-py3-none-any.whl
Size	2.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`b585ebc696149972e9b3378480cd178bb04bb60861d65ba889218e3f929a65f5`
BLAKE2b-256 checksum How to use checksums	`8eda47d4540003e1e50a2514842779aec4fcdc71871efcbb60b54aeed3720e97`
Upload date	Feb 18, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.26.0 requests-toolbelt/0.9.1 urllib3/1.26.6 tqdm/4.62.2 importlib-metadata/4.8.3 keyring/23.4.1 rfc3986/1.5.0 colorama/0.4.4 CPython/3.6.8`