kt-ai-commons 1.2.1

module for artificial intelligence

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.