generic ml fit

CHANGELOG.md

@@ -18,8 +18,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
     - `load_geojson`
     - `load_ml_model`
     - `load_url`
-    - `ml_fit_class_random_forest`
-    - `ml_fit_regr_random_forest`
+    - `ml_fit`
     - `ml_predict`
     - `save_ml_model`
     - `unflatten_dimension`

proposals/load_ml_model.json

@@ -1,7 +1,7 @@
 {
     "id": "load_ml_model",
     "summary": "Load a ML model",
-    "description": "Loads a machine learning model from a STAC Item.\n\nSuch a model could be trained and saved as part of a previous batch job with processes such as  ``ml_fit_regr_random_forest()`` and ``save_ml_model()``.",
+    "description": "Loads a machine learning model from a STAC Item.\n\nSuch a model could be trained and saved as part of a previous batch job with processes such as  ``ml_fit()`` and ``save_ml_model()``.",
     "categories": [
         "machine learning",
         "import"
@@ -43,4 +43,4 @@
             "rel": "about"
         }
     ]
-}
+}

proposals/ml_predict.json

@@ -17,7 +17,7 @@
         },
         {
             "name": "model",
-            "description": "A ML model that was trained with one of the ML training processes such as ``ml_fit_regr_random_forest()``.",
+            "description": "A ML model that was trained with the ML training process ``ml_fit()``.",
             "schema": {
                 "type": "object",
                 "subtype": "ml-model"
@@ -46,4 +46,4 @@
             ]
         }
     }
-}
+}