Documentation
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Momentum
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MLOps
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Impulse EDW
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- 2.1 Create a Warehouse
- 2.2 Edit Warehouse
- 2.3 Datasources In Warehouse
- 2.4 Ingesting Data Into Tables or Datasources
- 2.4.1 Ingesting From Momentum Data Pipeline
- 2.4.2 Uploading File Using Impulse UI
- 2.4.3 Ingesting From External File/Storage System
- 2.5 Add Data to Existing Tables
- 2.5.1 Update Existing Index
- 2.6 Delete Table Records (Rows)
- 2.7 Delete Tables or Datasources
- 2.8 Monitoring Indexing Tasks
- 2.9 View Datasource Stats
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Inset BI
- Alerts and Reports
- Connecting to a new database
- Registering a new table
- Creating charts in Explore view
- Manage access to Dashboards
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- Articles coming soon
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- Articles coming soon
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APIs
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Data Drift Report
The data drift detection is a way to evaluate whether the new incoming data is drifted from the data that was used in the model training. MLOps monitors for drift of every feature – both numerical and categorical features – and report them as graphs.
Figure 4.8a shows a data drift detection report page. Clicking on each column will show detailed drift (as trend graph, Figure 4.8b).
Figure 4.8a: Data Drift Detection report page.
Figure 4.8b: Field specific drift trend. The points within the green band are compliant data while the data outsides the green area are drifted data.
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