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Feature/xgboost #639
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Feature/xgboost #639
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michaelmattig
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639: Feature/xgboost r=michaelmattig a=MarWeUMR - [ x] I added an entry to [`CHANGELOG.md`](CHANGELOG.md) if knowledge of this change could be valuable to users. --- This PR is intended to add functionality for using `XGBoost` with a pre-trained model to generate predictions based on some raster tiles. There are three main parts: - the operator itself: xgboost.rs - the xgboost-sys crate to generate the bindings and build the library - the bindings module where all the higher level functionality is added to the bindings In the operator is a test method located, which uses the `marburg`dataset to predict land usage. This test takes some time to finish and should be replaced with an easier dataset just for testing purpose. Co-authored-by: Marcus Weber <weberma@students.uni-marburg.de>
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639: Feature/xgboost r=michaelmattig a=MarWeUMR - [ x] I added an entry to [`CHANGELOG.md`](CHANGELOG.md) if knowledge of this change could be valuable to users. --- This PR is intended to add functionality for using `XGBoost` with a pre-trained model to generate predictions based on some raster tiles. There are three main parts: - the operator itself: xgboost.rs - the xgboost-sys crate to generate the bindings and build the library - the bindings module where all the higher level functionality is added to the bindings In the operator is a test method located, which uses the `marburg`dataset to predict land usage. This test takes some time to finish and should be replaced with an easier dataset just for testing purpose. Co-authored-by: Marcus Weber <weberma@students.uni-marburg.de>
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639: Feature/xgboost r=michaelmattig a=MarWeUMR - [ x] I added an entry to [`CHANGELOG.md`](CHANGELOG.md) if knowledge of this change could be valuable to users. --- This PR is intended to add functionality for using `XGBoost` with a pre-trained model to generate predictions based on some raster tiles. There are three main parts: - the operator itself: xgboost.rs - the xgboost-sys crate to generate the bindings and build the library - the bindings module where all the higher level functionality is added to the bindings In the operator is a test method located, which uses the `marburg`dataset to predict land usage. This test takes some time to finish and should be replaced with an easier dataset just for testing purpose. Co-authored-by: Marcus Weber <weberma@students.uni-marburg.de>
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CHANGELOG.md
if knowledge of this change could be valuable to users.This PR is intended to add functionality for using
XGBoost
with a pre-trained model to generate predictions based on some raster tiles.There are three main parts:
In the operator is a test method located, which uses the
marburg
dataset to predict land usage. This test takes some time to finish and should be replaced with an easier dataset just for testing purpose.