Merge pull request #63 from chenyangkang/update

#46 Solved
#47 There is still no automatic one, and the experiment shows that grid search is not providing large improvement for the model performance. Still, users can follow the grid search tutorial here: https://chenyangkang.github.io/stemflow/Examples/07.Optimizing_stixel_size.html

.github/codecov.yml

@@ -0,0 +1,8 @@
+coverage:
+  status:
+    project:
+      default:
+        # basic
+        target: 80%
+        threshold: 5%
+        if_ci_failed: error

.github/workflows/run_pytest.yml

@@ -37,7 +37,7 @@ jobs:
       timeout-minutes: 300  # Set the timeout to 1.5 hours for this step
 
     - name: Upload coverage reports to Codecov
-      uses: codecov/codecov-action@v3
+      uses: codecov/codecov-action@v4
       env:
         CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
 

docs/Examples/05.Hurdle_in_ada_or_ada_in_hurdle.ipynb

@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Hurdel model in AdaSTEM\n",
+    "# Hurdle model in AdaSTEM\n",
     "\n",
     "Yangkang Chen<br>\n",
     "Jan 12, 2024"
@@ -14,7 +14,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "This notebook is to discuss the pros and cons of two different AdaSTEM modeling framework: `Hurdel in AdaSTEM` and `AdaSTEM in Hurdle`.\n",
+    "This notebook is to discuss the pros and cons of two different AdaSTEM modeling framework: `Hurdle in AdaSTEM` and `AdaSTEM in Hurdle`.\n",
     "\n",
     "To recap the content [here](https://chenyangkang.github.io/stemflow/Tips/Tips_for_different_tasks.html) (If you don't know what is hurdle model please read this), if the task is to predict abundance, there are two ways to leverage the hurdle model. \n",
     "\n",