Real-time Machine Learning Monitoring with Fiddler

Table of Contents

1. Introduction
2. Understanding the Model Schema
3. Monitoring the Embeddings Vector
4. Tracking Distributional Changes
5. Multi-Classification Model
6. Target Prediction
7. Monitoring Traffic and Inferences
8. Artificial Drift and Cluster Assignments
9. Proactive Alerts and Analysis
10. Three-Dimensional UMAP Visualization
11. Outliers and Root Cause Analysis
12. Try Fiddler for Free

Understanding the Fiddler Platform for Model Monitoring and Analysis

Fiddler is a powerful platform that enables You to monitor and analyze your machine learning models in real-time. With Fiddler, you can track distributional changes, monitor traffic and inferences, and identify outliers and root causes. In this article, we will explore the Fiddler platform and its various features in Detail.

Introduction

Machine learning models are becoming increasingly complex, and it is becoming more challenging to monitor and analyze them effectively. Fiddler is a platform that helps you overcome this challenge by providing you with real-time insights into your models' performance. With Fiddler, you can monitor your models' inputs, outputs, and predictions, and identify any issues that may arise.

Understanding the Model Schema

The first step in monitoring your machine learning models with Fiddler is to understand the model schema. The model schema is a representation of the model's inputs, outputs, and predictions. With Fiddler, you can Visualize the model schema and understand the Dimensions of the embeddings vector that represent the embeddings being fed into the model to make decisions.

Monitoring the Embeddings Vector

Fiddler enables you to monitor the embeddings vector as a whole, rather than monitoring individual elements of the vector. This allows you to track distributional changes tied to that embeddings vector. Fiddler also allows you to visualize the raw text input and query it when analyzing the model.

Tracking Distributional Changes

Fiddler enables you to track distributional changes in your machine learning models. With Fiddler, you can monitor the traffic and inferences and identify any changes in the distribution of the data. Fiddler also allows you to map each inference into clusters and identify any changes in the cluster assignments.

Multi-Classification Model

Fiddler supports multi-classification models and enables you to predict the likelihood that the text falls into one of the classifications. Fiddler also allows you to monitor the target prediction and track any changes in the predictions.

Monitoring Traffic and Inferences

Fiddler enables you to monitor the traffic and inferences in real-time. With Fiddler, you can monitor the inferences and track any changes in the distribution of the data. Fiddler also allows you to monitor the traffic by the hour or by the day.

Artificial Drift and Cluster Assignments

Fiddler allows you to introduce artificial drift by withholding certain concepts that were present in the baseline or over-delivering other topics. Fiddler also enables you to map each inference into clusters and identify any changes in the cluster assignments.

Proactive Alerts and Analysis

Fiddler proactively sends you alerts if any changes in the distribution of the data go above a threshold that you care about. Fiddler also enables you to move over to analyze and query the data to understand the root cause of the changes.

Three-Dimensional UMAP Visualization

Fiddler enables you to visualize the data in a three-dimensional UMAP or two-dimensional UMAP visualization. With Fiddler, you can identify the outliers and click on individual data points to see the unstructured data responsible for the outliers.

Outliers and Root Cause Analysis

Fiddler enables you to identify the outliers and understand the root cause of the changes. With Fiddler, you can analyze the data and identify any issues that may arise.

Try Fiddler for Free

Fiddler offers a free trial for 14 days. You can try Fiddler and explore its various features to monitor and analyze your machine learning models effectively.

Highlights

• Fiddler is a platform that helps you monitor and analyze your machine learning models in real-time.
• Fiddler enables you to track distributional changes, monitor traffic and inferences, and identify outliers and root causes.
• Fiddler supports multi-classification models and enables you to predict the likelihood that the text falls into one of the classifications.
• Fiddler proactively sends you alerts if any changes in the distribution of the data go above a threshold that you care about.
• Fiddler offers a free trial for 14 days.

FAQ

Q: What is Fiddler? A: Fiddler is a platform that helps you monitor and analyze your machine learning models in real-time.

Q: What are the features of Fiddler? A: Fiddler enables you to track distributional changes, monitor traffic and inferences, and identify outliers and root causes.

Q: Does Fiddler support multi-classification models? A: Yes, Fiddler supports multi-classification models and enables you to predict the likelihood that the text falls into one of the classifications.

Q: Does Fiddler send alerts? A: Yes, Fiddler proactively sends you alerts if any changes in the distribution of the data go above a threshold that you care about.

Q: Is there a free trial for Fiddler? A: Yes, Fiddler offers a free trial for 14 days.