r.learn.predict: write raster history#1695
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Add to write out the raster history. Example: ```sh r.info rf_classification +----------------------------------------------------------------------------+ | Map: rf_classification Date: Fri May 15 18:20:39 2026 | | Mapset: mneteler Login of Creator: mneteler | | Project: ecad17_ll | | DataBase: /home/mneteler/grassdata | | Title: | | Timestamp: none | |----------------------------------------------------------------------------| | | | Type of Map: raster Number of Categories: 62 | | Data Type: CELL Semantic label: (none) | | Rows: 201 | | Columns: 464 | | Total Cells: 93264 | | Projection: Latitude-Longitude | | N: 75:30N S: 25:15N Res: 0:15 | | E: 75:30E W: 40:30W Res: 0:15 | | Range of data: min = 21 max = 62 | | | | Data Description: | | generated by ? | | | | Comments: | | r.learn.predict group=ecad_1981_2010 load_model=rf_classification_model | | .data output=rf_classification | | | +----------------------------------------------------------------------------+ ``` Question: How to fill "`Data Description:`"?
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Seems I don't find a single example of a Python script in which this (or similar code) is used. Any hints for best practice? |
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Adds writing out of the raster history.
Example:
Question: How to fill "
Data Description:"?