Seclea User Documentation
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  • Seclea User Documentation
  • Introducing Seclea
    • Seclea - Building trust in AI
      • Seclea - Features and services
      • Seclea integrations and supported frameworks
  • Getting Started
    • Create a Seclea account
    • First Project - Example
    • Cloud Platform
    • On-Premises Deployment
  • Seclea Web UI
    • Overview
    • Basic Workflows
    • Creating a Project
    • Project Settings
      • User Access Setting
      • Compliance Settings
      • Risk Management Settings
      • Performance (Internal Policies) Setting
    • User Management
    • AI regulatory compliance
      • Seclea Compliance Dashboard
      • Working with templates for compliance
    • AI risk management
      • Seclea AI Risk Management Dashboard
      • Working with templates for risk management
  • Python API (seclea-ai)
    • Overview
    • API Documentation
  • Supported AI regulations
    • EC Artificial Intelligence Act
    • FDA SaMD with Artificial Intelligence
    • OECD AI Principles
    • Canada Artificial Intelligence and Data Act (AIDA)
    • South Korean - AI-based Medical Devices (SK-AIMD)
    • Saudi Arabia - AI-based Medical Devices (SA-AIMD)
  • Supported risk management frameworks
    • NIST AI risk management
    • ISO AI risk management
    • FDA AI based SaMD Risk Management
  • Seclea INFO
    • Reporting Bugs
    • Error Catalog
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  1. Python API (seclea-ai)

Overview

Seclea's Python API, seclea-ai, provides seamless integration with any Python-based AI development workflow, including popular cloud-based development environments such as Google Colab. The API is easily accessible via PyPI, allowing you to quickly install and integrate seclea-ai into your projects by simply running pip install seclea-ai.

With seclea-ai, you can effortlessly:

  1. Record your data: The API enables you to log and track datasets used in your AI projects, ensuring complete traceability and accountability throughout the development process.

  2. Record data transformations: seclea-ai allows you to document and monitor all data transformations applied to your datasets, including cleaning, feature engineering, normalization, and other preprocessing steps. This level of tracking ensures data integrity and facilitates the optimisation of your AI models.

  3. Record your models: The Python API offers comprehensive model tracking, allowing you to log and manage model architectures, training configurations, and performance metrics. This feature streamlines model versioning and enables you to easily compare and evaluate different models throughout the development lifecycle.

By utilizing the seclea-ai Python API, you can bring the power of the Seclea Platform to your Python-based AI projects, ensuring efficient project management, compliance, and traceability across your entire development workflow.

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Last updated 2 years ago