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Fiddler Documentation
Product DocumentationRecipesAPI ReferenceRelease Notes
Fiddler Documentation
Product DocumentationRecipesAPI ReferenceRelease Notes

Overview

  • Welcome to Fiddler's Documentation!

Getting Started

  • Product Tour
  • Quick Start - Simple Monitoring
  • Quick Start - Simple NLP/CV Monitoring
  • Quick Start - Upload Model Artifact
  • Quick Start - Monitoring and XAI with a Surrogate Model

Next Steps

  • Enabling XAI for Your Model

User Guide

  • Monitoring
    • Data Drift
    • Performance
    • Data Integrity
    • Service Metrics
    • Alerts
  • Special Monitoring Scenarios
    • Class-Imbalanced Data
    • NLP Monitoring
  • Explainability
    • Point Explainability
    • Global Explainability
    • Surrogate Models
  • Analytics
    • Useful Queries for Root Cause Analysis
  • Fairness
  • Evaluation
  • Administration
    • Settings
    • Project Structure
    • Authorization and Access Control

Integrations

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

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
    • Multiclass Classification
    • Ranking
  • Specifying Custom Missing Value Encodings

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
  • Retrieving Events
  • Using Custom Timestamps
  • Publishing Ranking Events

Administration

  • Inviting Users
  • Single Sign On with Okta

Deployment

  • Deploying Fiddler
    • System Architecture
    • On-prem Technical Requirements
    • On-prem Installation Guide
    • Routing to Fiddler (on-prem)

Explainability

Suggest Edits

There are three topics related to Explainability to cover:

  • Point Explainability
  • Global Explainability
  • Surrogate Models

Updated 3 months ago

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