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Overview
Welcome to Fiddler's Documentation!
Product Tour
DOC CHATBOT
Fiddler Docs Chat
QuickStart Notebooks
Simple ML Monitoring
Simple LLM Monitoring
ML Monitoring - NLP Inputs
ML Monitoring - CV Inputs
ML Monitoring - Class Imbalance
ML Monitoring - Ranking
Explainability - Surrogate Model
Explainability - Model Artifact
Fairness Example
Illustrative Walkthroughs
Fraud Detection
Customer Churn Prediction
Platform Guide
Administration
Project Architecture
Model: Artifacts, Package, Surrogate
Monitoring
Alerts
Data Drift
Traffic
Data Integrity
Performance Tracking
Monitoring with Statistics
Vector Monitoring
Class-Imbalanced Data
Monitoring Charts
Custom Metrics
Segments
Fiddler Query Language (FQL)
Embedding Visualization with UMAP
LLM Monitoring
Dashboards
Explainability
Point Explainability
Global Explainability
Fairness
Analytics and Evaluation
Model Task Types
Flexible Model Deployment
On-Prem - Manual Flexible Model Deployment (XAI)
Baselines
Supported Browsers
UI Guide
Administration
Settings
Inviting Users
Project Structure on UI
Authorization and Access Control
Monitoring
Data Drift
Performance
Data Integrity
Traffic
Alerts with Fiddler UI
Monitoring Charts UI
Embedding Visualization Chart Creation
Explainability
Point Explainability
Global Explainability
Surrogate Models
Analytics
Useful Queries for Root Cause Analysis
Evaluation
Fairness
Dashboards
Dashboard Utilities
Dashboard Interactions
Client Guide
Installation and Setup
Authorizing the Client
Designing a Baseline Dataset
Uploading a Baseline Dataset
Customizing Your Dataset Schema
Specifying Custom Missing Value Encodings
Specifying Custom Features
Onboarding a Model
Binary Classification
Multiclass Classification
Regression
Ranking
LLM
No Model Task Specified
Surrogate Models - Client Guide
Uploading model artifacts
Updating model artifacts
Package.py Examples
Binary Classification Model Package.py
Regression Model Package.py
Multi-class Classification Model Package.py
Ranking Model Package.py
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
Alerts with Fiddler Client
Deployment Guide
Deploying Fiddler
System Architecture
On-prem Technical Requirements
On-prem Installation Guide
Routing to Fiddler (on-prem)
Single Sign On with Okta
Single Sign on with Azure AD
INTEGRATIONS
Data Pipeline Integrations
S3 Integration
Airflow Integration
SageMaker Integration
BigQuery Integration
Snowflake Integration
Kafka Integration
ML Platform Integrations
SageMaker ML Integration
Datadog Integration
Databricks Integration
ML Flow Integration
Alerting Integrations
PagerDuty Integration
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