diff --git a/.readthedocs.yml b/.readthedocs.yml
index 3a40d135..e4770bad 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -1,12 +1,17 @@
 version: 2
 
+build:
+  os: ubuntu-22.04
+  tools:
+    python: "3.11"
+
 sphinx:
   configuration: docs/source/conf.py
 
 python:
-  version: 3.8
   install:
-  - method: pip
-    path: .
-    extra_requirements:
-    - docs
+    - method: pip
+      path: .
+      extra_requirements:
+        - docs
+        - ml
diff --git a/docs/source/common-configuration-patterns.md b/docs/source/common-configuration-patterns.md
index daabde09..9abd4eec 100644
--- a/docs/source/common-configuration-patterns.md
+++ b/docs/source/common-configuration-patterns.md
@@ -5,7 +5,7 @@
 When you need to write a config for a pipeline, you can avoid rummaging through documentation by using the template command `eogrow-template`.
 
 Invoking `eogrow-template "eogrow.pipelines.zipmap.ZipMapPipeline" "zipmap.json"` creates a file with the content:
-```json
+```
 {
   "pipeline": "eogrow.pipelines.zipmap.ZipMapPipeline",
   "pipeline_name": "<< Optional[str] >>",
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 1fd33075..6dba1618 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -90,7 +90,7 @@
 pygments_style = "sphinx"
 
 # Mock imports that won't and don't have to be installed in ReadTheDocs environment
-autodoc_mock_imports = ["ray"]
+autodoc_mock_imports = ["ray", "deepdiff"]
 
 # -- Options for HTML output ----------------------------------------------
 
diff --git a/eogrow/pipelines/training.py b/eogrow/pipelines/training.py
index 72b9ba50..e6171018 100644
--- a/eogrow/pipelines/training.py
+++ b/eogrow/pipelines/training.py
@@ -248,6 +248,10 @@ def score_results(self, prepared_data: dict, model: Any) -> None:
 class RegressionTrainingPipeline(BaseTrainingPipeline):
     """A base pipeline for training an ML regressor. Uses LGBMRegressor by default."""
 
+    class Schema(BaseTrainingPipeline.Schema): ...  # needed for auto-docs
+
+    config: Schema
+
     def train_model(self, prepared_data: dict) -> object:
         train_features = prepared_data["features_train"]
         train_reference = prepared_data["reference_train"]
diff --git a/eogrow/utils/validators.py b/eogrow/utils/validators.py
index 55232961..e37e1c13 100644
--- a/eogrow/utils/validators.py
+++ b/eogrow/utils/validators.py
@@ -59,7 +59,7 @@ def optional_validator(value, values, config, field):  # type: ignore[no-untyped
 def ensure_exactly_one_defined(first_param: str, second_param: str, **kwargs: Any) -> classmethod:
     """A validator (applied to `second_param` field) that makes sure only one of the two parameters is defined.
 
-    Make sure that the definition of `second_param` comes after `first_param˙ (in line-order).
+    Make sure that the definition of `second_param` comes after `first_param` (in line-order).
     """
 
     def ensure_exclusion(cls: type, value: Any | None, values: RawSchemaDict) -> Any | None:
@@ -79,7 +79,7 @@ def ensure_exclusion(cls: type, value: Any | None, values: RawSchemaDict) -> Any
 def ensure_defined_together(first_param: str, second_param: str, **kwargs: Any) -> classmethod:
     """A validator (applied to `second_param` field) that makes sure that the two parameters are both (un)defined.
 
-    Make sure that the definition of `second_param` comes after `first_param˙ (in line-order).
+    Make sure that the definition of `second_param` comes after `first_param` (in line-order).
     """
 
     def ensure_both(cls: type, value: Any | None, values: RawSchemaDict) -> Any | None: