Merge branch 'main' into nodylink-build

docs/project/changelog.md

@@ -16,6 +16,10 @@ myst:
 
 ## Unreleased
 
+### Packages
+
+- Added river version 0.19.0 {pr}`4197`
+
 ### Load time & size optimizations
 
 - {{ Performance }} Do not use `importlib.metadata` when identifying installed packages,

packages/river/meta.yaml

@@ -0,0 +1,31 @@
+package:
+  name: river
+  version: 0.19.0
+  top-level:
+    - river
+
+source:
+  url: https://files.pythonhosted.org/packages/79/89/2ff0fd93d8f1e3f3e47392e12a14463147de49b6b25df617835e7da894b9/river-0.19.0.tar.gz
+  sha256: 6b2192e27636334dd29eb43d6c46a53f9d7eef38eb8479a0797412b7c8c46020
+
+requirements:
+  executable:
+    - rustup
+  host:
+    - numpy
+  run:
+    - numpy
+    - pandas
+    - pytest # can remove in 0.20
+    - scipy
+
+about:
+  home: https://github.com/online-ml/river
+  PyPI: https://pypi.org/project/river
+  summary: Online machine learning in Python
+  license: BSD-3
+
+test:
+  imports:
+    - river
+    - river.api

packages/river/test_river.py

@@ -0,0 +1,17 @@
+import pytest
+from pytest_pyodide import run_in_pyodide
+
+
+@pytest.mark.driver_timeout(60)
+@run_in_pyodide(packages=["river"])
+def test_linear_regression(selenium):
+    from river import datasets, evaluate, linear_model, metrics, preprocessing
+
+    dataset = datasets.TrumpApproval()
+
+    model = preprocessing.StandardScaler() | linear_model.LinearRegression(
+        intercept_lr=0.1
+    )
+    metric = metrics.MAE()
+
+    evaluate.progressive_val_score(dataset, model, metric)

src/js/api.ts

@@ -16,6 +16,7 @@ import { TypedArray } from "./types";
 // Exported for micropip
 API.loadBinaryFile = loadBinaryFile;
 
+// Exported for micropip
 API.loadBinaryFile = loadBinaryFile;
 
 /**