Overview
You can upload new Learning Points files directly into the Prediction Map workflow. Follow the steps below to learn how.
Step by Step Instructions
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
Prepare Learning Points Files
Ensure you have all four required file types (.shp, .shx, .dbf, .prj); all four must be uploaded together.
Additional files (like .cpg or .qmd) are optional and can be included if available.
Upload Learning Points
Open the Experiment
Open or start a new experiment.
Open Step 2: Set Up Learning Points.
Upload Learning Points Files
Open the Learning Points dropdown list.
Click Manage Learning Points at the bottom of the list.
In the upload window, ensure you are on the Upload tab:
Drag and drop all four required AOI files, or
Click Browse Files to select the files from your computer.
Click Upload Learning Points.
If any required file is missing, an error message will appear.
Apply the New Learning Points
Select the newly uploaded file from the dropdown list.
Uploading may take up to 15 minutes, depending on file size.
If the new Learning Points file does not appear in the dropdown, refresh the page.
Delete Learning Points
You can delete Learning Points files from the same screen. To do this:
Open the Manage Tab
Click Manage to open the appropriate tab.
Delete a Learning Points File
Click the garbage can icon next to the file you wish to delete.
Confirm that you want to delete.
Click Done when complete.
Notes
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 AOI file 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.