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v0.24.2
v0.24.2
  • ☂️Introduction
  • Model Monitoring
    • Quickstart
    • Data Preparation
      • How to get data ready for NannyML
    • Tutorials
      • Monitoring a tabular data model
      • Monitoring with segmentation
      • Monitoring a text classification model
      • Monitoring a computer vision model
    • How it works
      • Probabilistic Adaptive Performance Estimation (PAPE)
      • Reverse Concept Drift (RCD)
    • Custom Metrics
      • Creating Custom Metrics
        • Writing Functions for Binary Classification
        • Writing Functions for Multiclass Classification
        • Writing Functions for Regression
        • Handling Missing Values
        • Advanced Tutorial: Creating a MTBF Custom Metric
      • Adding a Custom Metric through NannyML SDK
    • Reporting
      • Creating a new report
      • Report structure
      • Exporting a report
      • Managing reports
      • Report template
      • Add to report feature
  • Product tour
    • Navigation
    • Adding a model
    • Model overview
    • Deleting a model
    • Model side panel
      • Summary
      • Performance
      • Concept drift
      • Covariate shift
      • Data quality
      • Logs
      • Model settings
        • General
        • Data
        • Performance settings
        • Concept Drift settings
        • Covariate Shift settings
        • Descriptive Statistics settings
        • Data Quality 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
      • Authentication
      • Notifications
      • Webhooks
      • Permissions
  • NannyML Cloud SDK
    • Getting Started
    • Example
      • Authentication & loading data
      • Setting up the model schema
      • Creating the monitoring model
      • Customizing the monitoring model settings
      • Setting up continuous monitoring
      • Add delayed ground truth (optional)
    • 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
    • Versions
      • Version 0.24.2
      • Version 0.24.1
      • Version 0.24.0
      • Version 0.23.0
      • Version 0.22.0
      • Version 0.21.0
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On this page
  • Disable notifications
  • SaaS
  • SMTP
  1. Deployment
  2. Application setup

Notifications

PreviousAuthenticationNextWebhooks

On the Notifications tab, you can setup an email provider to send notifications from NannyML Cloud to the registered users. It is possible to:

  • Disable the notifications

  • Use the preconfigured third-party email provider

  • Use your own SMTP server

Disable notifications

Disable notifications settings means no notification will be sent through email.

SaaS

The SAAS option enables NannyML Cloud's preconfigured email provider. No further configuration is required.

NannyML Cloud uses Resend as a third-party email provider. Using this services means some of your model details might be shared with this provider and stored on their systems for some time. If you don't want this behavior, we recommend using your own SMTP server.

SMTP

Selecting the SMTP setting allows you to specify a connection to your self-hosted, self-managed SMTP server. This might be required for privacy or organizational policies.

You must provide the following settings:

  • Host: the host name of your SMTP server, e.g. smtp.example.com

  • Port: the port number to connect to. The standard value is 587, though 465 is also often used.

  • Username: the username used to connect to the SMTP server, e.g. nannyml

  • Password: the password used to connect to the SMTP server, e.g. passw0rd

  • Sender: the email address used to send the email from, e.g. nannyml-notifications@example.org

After adding the SMTP configuration data, you can test by sending a test email. After providing the recipient email address, hit the Send test email button and check the recipient inbox. If the email arrives, your connection was set up correctly!

Configuring the SaaS notification provider
Configuring the SMTP notification provider