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Fiddler Documentation
Product DocumentationAPI ReferenceRelease Notes
Fiddler Documentation
Product DocumentationAPI ReferenceRelease Notes

Overview

  • Welcome to Fiddler's Documentation!

Getting Started

  • Product Tour
  • Quick Start (Our Data)
  • Quick Start (Your Data)

User Guide

  • Monitoring
    • Data Drift
    • Performance
    • Data Integrity
    • Service Metrics
    • Alerts
    • Class Imbalanced Data
  • Explainability
    • Point Explainability
    • Global Explainability
    • Surrogate Models
  • Analytics
  • Fairness
  • Evaluation
  • Administration
    • Settings
    • Project Structure
    • Authorization and Access Control

Connecting to Fiddler

  • Installation and Setup
  • Authorizing the Client

Common Use Cases

  • Fraud Detection
  • Customer Churn prediction

Baseline Datasets

  • Designing a Baseline Dataset
  • Uploading a Baseline Dataset
  • Customizing Your Dataset Schema

Model Registration

  • Registering a Model
    • Regression
    • Binary Classification
    • Multi-class Classification
    • Ranking

Model Artifact Upload

  • Uploading a Model Artifact
  • Model Task Examples
    • Uploading a Regression Model Artifact
    • Uploading a Binary Classification Model Artifact
    • Uploading a Multi-class Classification Model Artifact
  • ML Framework Examples
    • Uploading a scikit-learn Model Artifact
    • Uploading an XGBoost Model Artifact
    • Uploading a TensorFlow SavedModel Model Artifact
    • Uploading a TensorFlow HDF5 Model Artifact

Publishing Production Data

  • Streaming Live Events
  • Publishing Batches of Events
  • Publishing Events With Complex Data Formats
  • Updating Events

Administration

  • Inviting Users

Integrations

  • Data Pipeline Integrations
    • S3 Integration
    • Airflow Integration
    • SageMaker Integration
    • BigQuery Integration
    • Snowflake Integration
  • Alerting Integrations
    • PagerDuty Integration
  • ML Platform Integrations
    • SageMaker ML Integration

Deployment

  • Deploying Fiddler
    • System Architecture
    • On-prem Technical Requirements
    • On-prem Installation Guide
    • Local Onebox Installation

Explainability

Suggest Edits

There are three topics related to Explainability to cover:

  • Point Explainability
  • Global Explainability
  • Surrogate Models

Updated 11 days ago

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