Metadata-Version: 2.1
Name: kt-ai-commons
Version: 1.2.0
Summary: module for artificial intelligence
Home-page: https://github.com/hodragon5237/kt_ai_commons
Author: hodragon
Author-email: giddens5237@gmail.com
License: BEERWARE
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: pandas

# 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.

