Modeling¶
The sections described below provide information to help you easily navigate the ML modeling process.
Build models¶
Topic | Description |
---|---|
Build models | Elements of the basic modeling workflow. |
Advanced options | Setting advanced modeling parameters prior to building. |
Manage projects | Manage models and projects, and export data. |
Model insights (Leaderboard tabs)¶
Topic | Description |
---|---|
Evaluate tabs | View key plots and statistics needed to judge and interpret a model’s effectiveness. |
Understand tabs | Understand what drives a model’s predictions. |
Describe tabs | View model building information and feature details. |
Predict tabs | Make predictions in DataRobot using the UI or API. |
Compliance tabs | Compile model development documentation that can be used for regulatory validation. |
Comments tab | Add comments to assets in the AI Catalog. |
Bias and Fairness tabs | Identify if a model is biased and why the model is learning bias from the training data. |
Other model tabs | Compare models across a project. |
Specialized workflows¶
Topic | Description |
---|---|
Date/time partitioning | Build models with time-relevant data (not time series). |
Unsupervised learning | Work with unlabeled or partially labeled data to build anomaly detection or clustering models. |
Composable ML | Build blueprints using built-in DataRobot tasks and custom Python or R code. |
Visual AI | Use image-based datasets. |
Location AI | Use geospatial datasets. |
Time series modeling¶
Topic | Description |
---|---|
What is time-based modeling? | The basic modeling process and a recommended reading path. |
Time series workflow overview | The workflow for creating a time series project. |
Time series insights | Visualizations available to help interpret your data and models. |
Time series predictions | Making predictions with time series models. |
Multiseries modeling | Modeling with datasets that contain multiple time series. |
Segmented modeling | Grouping series into segments, creating multiple projects for each segment, and producing a single Combined Model for the data. |
Nowcasting | Making predictions for the present and very near future (very short-range forecasting). |
Enable external prediction comparison | Comparing model predictions built outside of DataRobot against DataRobot predictions. |
Advanced time series modeling | Modifying partitions, setting advanced options, and understanding window settings. |
Time series modeling data | Working with the time series modeling dataset:
|
Time series reference | How to customize time series projects as well as a variety of deep-dive reference material for DataRobot time series modeling. |
Modeling reference¶
Topic | Description |
---|---|
Data and sharing | Dataset requirements, sharing assets, and permissions. |
Modeling details | The Leaderboard and the processes that drive model building, including partitioning and feature derivation. |
Eureqa advanced tuning | Tune Eureqa models by modifying building blocks, customizing the target expression, and modifying other model parameters. |
Modeling FAQ | A list of frequently asked modeling questions, including building models and model insights, with brief answers and links to more complete documentation. |
Updated June 24, 2024
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