module for artificial intelligence
Project description
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.
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