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v0.20.2
v0.20.2
  • ☂️Introduction
  • Model Monitoring
    • Quickstart
    • Data Preparation
      • How to get data ready for NannyML
    • Tutorials
      • Monitoring a tabular data model
      • Monitoring a text classification model
      • Monitoring a computer vision model
    • How it works
      • Probabilistic Adaptive Performance Estimation (PAPE)
      • Reverse Concept Drift (RCD)
  • Product tour
    • Navigation
    • Adding a model
    • Model overview
    • Model side panel
      • Summary
      • Performance
      • Concept shift
      • Covariate shift
      • Data quality
      • Logs
      • Model settings
    • Account settings
  • Deployment
    • Azure
      • Azure Managed Application
        • Finding the URL to access managed NannyML Cloud
        • Enabling access to storage
      • Azure Software-as-a-Service (SaaS)
    • AWS
      • AMI with CFT
        • Architecture
      • EKS
        • Quick start cluster setup
      • S3 Access
    • Application setup
      • Webhooks
  • NannyML Cloud SDK
    • Getting Started
    • API Reference
  • Probabilistic Model Evaluation
    • Introduction
    • Tutorials
      • Evaluating a binary classification model
      • Data Preparation
    • How it works
      • HDI+ROPE (with minimum precision)
      • Getting Probability Distribution of a Performance Metric with targets
      • Getting Probability Distribution of Performance Metric without targets
      • Getting Probability Distribution of Performance Metric when some observations have labels
      • Defaults for ROPE and estimation precision
  • Experiments Module
    • Introduction
    • Tutorials
      • Running an A/B test
      • Data Preparation
    • How it works
      • Getting probability distribution of the difference of binary downstream metrics
  • miscellaneous
    • Engineering
    • Usage logging in NannyNL
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  1. Product tour

Account settings

PreviousModel settingsNextAzure

Last updated 1 year ago

In account settings, you can opt out of anonymous usage statistics or set up a notifications system via email with reports. The API token section lets you create a token to authenticate when using nannyML Cloud SDK.

Notifications - alerting report

Suppose there are any significant alerts on the last chunk. In that case, NannyML will send an automated email to your email account with some of the main insights: the performance metrics that have dropped and the potential causes of it.

All are linked to the respective dashboards with a full view of the features and metrics with issues.

Account settings page.
Alert report sent to the provided email.