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Upload New Learning Points to DORA

Learn how to drag and drop your own Learning Points file into the DORA interface.

Updated over 2 weeks ago

Overview

You can upload new Learning Points files directly into the Prediction Map workflow. Follow the steps below to learn how.


Learning Points File Requirements

Geometry

  • PointZ shapefile only

  • MultipointZ, polygon, and line files are not supported

Z (Elevation) Data

  • Z values must be stored as a column in the attribute table

  • Z values cannot be read from geometry alone

  • DORA aliases this column as the Z / elevation field during setup

Attribute Values

  • Values must be numeric floats

    • Example: 5.0 (not 5)

  • Integer and categorical values are not supported

Learning Classes

  • DORA cannot filter Learning Points by class.

  • Create separate files for different classes or class combinations

    • Example: outcrop + drilling vs. drilling only


Preparing Files for Upload

Required files:

  • .shp

  • .shx

  • .dbf

  • .prj

Optional files (such as .cpg or .qmd) may be included.

All required files must be uploaded together.


Step-by-Step Instructions

Drag and drop learning points into DORA interface
  1. Open a Prediction Map

    • Open the Prediction Map you want to upload a new Learning Points file to.

    • You can upload new files at any step, but to use the new Learning Points in your experiment, return to Step 3: Set Up Learning Data.

  2. Upload Learning Points Files

    • Drag and drop all four required files into the Prediction Map UI.

    • If a file is missing, an error will appear.

  3. Select File from Drop Down

    • Your new Learning Points file will be available in the drop-down menu.

      • Note that it can take up to 15 minutes to upload. You may need to refresh the screen if you don’t see the new file reflected immediately.

    • Select the new file, then continue with Step 3: Set Up Learning Data.


Notes

  • Required files:

    • .shp

    • .shx

    • .dbf

    • .prj

  • If you're using synthetic or conceptual learning data (e.g., expert interpretation without drill assays), DORA expects values in decimal format. Even whole-number confidence levels (e.g., 1, 5, 20) must be written as floats (e.g., 1.0, 5.0) to avoid upload errors.

  • You can also upload a new Area of Interest shapefile directly into the DORA interface.


Learn More


Still Have Questions?

Reach out to your dedicated DORA contact or email support@VRIFY.com for more information.

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