XFlow Documentation

XFlow is a lightweight modular machine-learning framework with a clear high-level structure.

• Quickstart Guide
  • Installation
  • Basic Usage
  • Next Steps
• API Reference
  • Modules
  • Overview
  • Quick Start
• Basic Usage Examples
  • Data Pipeline Example
  • Configuration Management
  • Model Training Example
  • Visualization Example
  • Configuration File Example

Core Modules

XFlow is organized into four main modules:

Data Module

Data loading, processing, and pipeline management

Models Module

Machine learning model implementations

Trainers Module

Training utilities and callbacks

Utils Module

Helper functions and utilities

Quick Example

from xflow.data import BasePipeline
from xflow.models import BaseModel

# Create a data pipeline
pipeline = BasePipeline()

# Create and configure model
model = BaseModel()

Indices and tables

• Index

• Module Index

• Search Page