XGBoost fix and typos

.github/workflows/python-package.yml

@@ -26,6 +26,9 @@ jobs:
       uses: actions/setup-python@v5
       with:
         python-version: ${{ matrix.python-version }}
+    - name: Install libomp for macOS
+      if: startsWith(matrix.os, 'macos')
+      run: brew install libomp
     - name: Install dependencies
       run: |
         python -m pip install --upgrade pip wheel setuptools>=65.5.1

.github/workflows/python-publish.yml

@@ -127,7 +127,7 @@ jobs:
 
           url="https://pypi.org/pypi/pythresh/json"
           latest_version=$(curl -s "$url" | jq -r '.info.version')
-          latest_sha256=$(curl -s "$url" | jq -r '.releases."'"$latest_version"'"[0].digests."sha256"')
+          latest_sha256=$(curl -s "$url" | jq -r '.releases."'"$latest_version"'"[1].digests."sha256"')
 
           echo "Validating version update"
 

pythresh/thresholds/chau.py

@@ -20,8 +20,8 @@ class CHAU(BaseThresholder):
        method : {'mean', 'median', 'gmean'}, optional (default='mean')
             Calculate the area normal to distance using a scaler
 
-            - 'mean':  Construct a scaler with the the mean of the scores
-            - 'median: Construct a scaler with the the median of the scores
+            - 'mean':  Construct a scaler with the mean of the scores
+            - 'median: Construct a scaler with the median of the scores
             - 'gmean': Construct a scaler with the geometric mean of the scores
 
        random_state : int, optional (default=1234)

pythresh/thresholds/mad.py

@@ -20,6 +20,7 @@ class MAD(BaseThresholder):
        factor : int, optional (default=1)
             The factor to multiply the MAD by to set the threshold.
             The default is 1.
+
        random_state : int, optional (default=1234)
             Random seed for the random number generators of the thresholders. Can also
             be set to None.

pythresh/thresholds/moll.py

@@ -19,6 +19,9 @@ class MOLL(BaseThresholder):
        Parameters
        ----------
 
+       random_state : int, optional (default=1234)
+            Random seed for the uniform distribution. Can also be set to None.
+
        Attributes
        ----------
 

pythresh/thresholds/zscore.py

@@ -14,9 +14,11 @@ class ZSCORE(BaseThresholder):
 
        Parameters
        ----------
+
        factor : int, optional (default=1)
             The factor to multiply the zscore by to set the threshold.
             The default is 1.
+
        random_state : int, optional (default=1234)
             Random seed for the random number generators of the thresholders. Can also
             be set to None.

requirements-test.txt

@@ -11,4 +11,4 @@ scipy>=1.3.1
 setuptools>=65.5.1
 torch
 tqdm
-xgboost>=2.0.0,<2.1.0
+xgboost>=2.0.0