aiqclib

📘 Getting Started

Overview
Step 1: Installation
Step 2: Dataset Preparation
Step 3: Training & Evaluation
Step 4: Classification

💡 How-To Guides

Quick Start
Data Preprocessing Utilities
Algorithm Selection
Prediction Threshold
Performance Evaluation
SHAP Values
Down-sampling of the Negative Dataset
Feature Normalization
Selecting Specific Configurations

⚙️ Configuration

Configuration of Dataset Preparation
Configuration of Training & Evaluation
Configuration of Classification

📊 Features

Location
Day of the Year
Basic Values
Profile Summary Statistics
Neighboring Values (Up and Down)

🧩 API Reference

aiqclib
- aiqclib package

aiqclib

aiqclib
aiqclib package
aiqclib.train package
aiqclib.train.step3_optimise_model package
View page source

aiqclib.train.step3_optimise_model package

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