Universal ML Framework
Contents:
Installation
Install from PyPI
Install from Source
Requirements
Verify Installation
Quick Start Guide
Basic Usage
Classification Problem
Regression Problem
Quick Setup Functions
One-liner Classification
One-liner Regression
Generate Sample Data
Customization Options
Exclude Columns
Custom Feature Types
What Happens Automatically
Titanic Case Study
Dataset Overview
Implementation
Complete Titanic Prediction Script
What Happens Automatically
Expected Results
Typical Performance Metrics
Feature Importance Analysis
Output Files
Generated Files
Advanced Usage
Custom Feature Engineering
Exclude Irrelevant Features
Performance Comparison
Framework vs Manual Implementation
Key Insights
Why This Works Well
Lessons Learned
Architecture & Design
Core Components
UniversalMLPipeline Class
Key Attributes
Pipeline Workflow
Design Principles
Universal Design
Automation First
Performance Optimization
Production Ready
Extensibility
Performance Characteristics
Speed Benchmarks
Memory Usage
Scalability Features
Error Handling Strategy
Data Quality Validation
Graceful Degradation
Validation Framework
Advanced Usage
Performance Optimization
Fast Mode for Large Datasets
Multi-Core Processing
Hyperparameter Tuning Strategies
Grid Search
Random Search
Bayesian Optimization
Custom Feature Engineering
Custom Preprocessing Functions
Manual Feature Selection
Advanced Configuration
Verbose Mode
Custom ID Columns
Column Exclusion
Model Customization
Adding Custom Models
Custom Parameter Grids
Production Deployment
Model Loading and Inference
Batch Processing
Model Monitoring
Troubleshooting
Common Issues and Solutions
Performance Monitoring
API Reference
Core Classes
UniversalMLPipeline
Helper Functions
Quick Setup Functions
Data Generation
DataGenerator
Method Details
Main Pipeline Methods
Examples
Customer Churn Classification
House Price Prediction
Sales Forecasting
Using Predefined Configurations
Custom Feature Engineering
Batch Processing Multiple Datasets
Working with Your Own Data
Loading Saved Models
Troubleshooting Guide
Common Issues and Solutions
Installation Issues
Data Loading Problems
Memory and Performance Issues
Feature Detection Issues
Model Training Problems
Prediction Issues
Error Messages and Solutions
Scikit-learn Related Errors
Pandas Related Errors
Performance Optimization Tips
Speed Up Training
Reduce Memory Usage
Debug Mode
Getting Help
Check Documentation
Common Debugging Steps
Report Issues
Universal ML Framework
Index
Index
A
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C
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D
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G
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H
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L
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M
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Q
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R
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U
A
auto_detect_features() (universal_ml_framework.UniversalMLPipeline method)
(UniversalMLPipeline method)
C
create_preprocessor() (universal_ml_framework.UniversalMLPipeline method)
cross_validate_models() (universal_ml_framework.UniversalMLPipeline method)
(UniversalMLPipeline method)
D
DataGenerator (class in universal_ml_framework)
define_models() (universal_ml_framework.UniversalMLPipeline method)
G
generate_all_datasets() (universal_ml_framework.DataGenerator static method)
generate_customer_churn() (universal_ml_framework.DataGenerator static method)
generate_house_prices() (universal_ml_framework.DataGenerator static method)
generate_sales_forecasting() (universal_ml_framework.DataGenerator static method)
H
hyperparameter_tuning() (universal_ml_framework.UniversalMLPipeline method)
(UniversalMLPipeline method)
L
list_available_configs() (in module universal_ml_framework)
load_data() (universal_ml_framework.UniversalMLPipeline method)
(UniversalMLPipeline method)
M
make_predictions() (universal_ml_framework.UniversalMLPipeline method)
(UniversalMLPipeline method)
P
prepare_data() (universal_ml_framework.UniversalMLPipeline method)
Q
quick_classification_pipeline() (in module universal_ml_framework)
quick_regression_pipeline() (in module universal_ml_framework)
R
run_pipeline() (universal_ml_framework.UniversalMLPipeline method)
(UniversalMLPipeline method)
run_pipeline_with_config() (in module universal_ml_framework)
S
save_model() (universal_ml_framework.UniversalMLPipeline method)
(UniversalMLPipeline method)
U
UniversalMLPipeline (class in universal_ml_framework)