Specialized workflows

The following sections describe alternative workflows for a variety of specialized data types.

• Datetime Partitioned Projects
  • Setting Up a Datetime Partitioned Project
  • Modeling with a Datetime Partitioned Project
  • Accuracy Over Time Plots
  • Dates, Datetimes, and Durations
• Time Series Projects
  • Setting Up A Time Series Project
  • Modeling Data and Time Series Features
  • Making Predictions
  • Calendars
  • Datetime Trend Plots
  • Prediction Intervals
  • Partial History Predictions
  • External Baseline Predictions
  • Time Series Data Prep
• Visual AI Projects
  • Create a Visual AI Project
  • Start Modeling
  • Interact with a Visual AI Project
• Unsupervised Projects (Anomaly Detection)
  • Creating Unsupervised Projects
  • Creating Time Series Unsupervised Projects
  • Unsupervised Project Metrics
  • Estimating Accuracy of Unsupervised Anomaly Detection Datetime Partitioned Models
  • Explaining Unsupervised Time Series Anomaly Detection Models Predictions
  • Assessing Unsupervised Anomaly Detection Models on External Test Set
  • Requesting External Scores and Insights (Time Series)
  • Requesting External Scores and Insights for AutoML models
  • Retrieving External Scores and Insights
• Unsupervised Projects (Clustering)
  • Creating Unsupervised Projects
  • Unsupervised Clustering Project Metric
  • Retrieving information about Clusters
  • Working with Clusters Insights
  • Working with Clusters
  • Clustering Classes Reference
• Segmented Modeling Projects
  • Segment
  • Segmentation Task
  • Combined Model
• Composable ML
  • Manage Custom Tasks
  • Manage Custom Task Versions
  • Preparing a Custom Task Version for Use
• Monotonic Constraints
  • Creating featurelists
  • Specify default monotonic constraints for a project
  • Retrieve models and blueprints using monotonic constraints
  • Train a model with specific monotonic constraints