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Amol Kaushik commited on 28 days ago

Commit

7f284e9

1 Parent(s): 7ca3fe8

fixed scikit dependency issue

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Files changed (2) hide show

A3/A3_Report.ipynb +8 -8
requirements.txt +1 -1

A3/A3_Report.ipynb CHANGED Viewed

@@ -1058,7 +1058,7 @@
    "id": "bfc7b8c0",
    "metadata": {},
    "source": [
-    "## 8. Model training step 4: hyperparameter tuning of body regions"
    ]
   },
   {
@@ -1243,7 +1243,7 @@
    "id": "595e6b9d",
    "metadata": {},
    "source": [
-    "## 9. Model training - step 5: feature engineering of polynomial features"
    ]
   },
   {
@@ -1306,7 +1306,7 @@
    "id": "2f3e5f57",
    "metadata": {},
    "source": [
-    "## 10. Final champion comparison from all iterations"
    ]
   },
   {
@@ -1572,7 +1572,7 @@
    "id": "eba1be0e",
    "metadata": {},
    "source": [
-    "## 11. Deployment\n",
     "\n",
     "The classification endpoint is added to the existing Gradio app as a second tab. Tab 1 has Movement Scoring from A2. Tab 2 has Body Region Classification which takes 40 deviation features as input and outputs the predicted body region. The model is an sklearn Pipeline of StandardScaler + LogisticRegression getting 76.4% accuracy and 77.4% F1-weighted.\n",
     "\n",
@@ -1584,8 +1584,8 @@
    "id": "67013cc1",
    "metadata": {},
    "source": [
     "\n",
-    "### Virtual environment\n",
     "```bash\n",
     "python -m venv venv\n",
     "source venv/bin/activate\n",
@@ -1598,7 +1598,7 @@
    "id": "445419d9",
    "metadata": {},
    "source": [
-    "## 13. DevOps/MLOps process\n",
     "\n",
     "GitHub Actions automatically syncs the repository to HuggingFace Spaces when pushed to main. The workflow file is found at .github/workflows/push_to_hf_space.yml."
    ]
@@ -1671,7 +1671,7 @@
    "id": "7a142abd",
    "metadata": {},
    "source": [
-    "## 15. contributions \n",
     "\n",
     "| Member | GitHub Issue | Tasks |\n",
     "|--------|--------------|-------|\n",
@@ -1686,7 +1686,7 @@
    "id": "f62680e2",
    "metadata": {},
    "source": [
-    "### Iterations\n",
     "\n",
     "| # | Iteration | Approach | Key change |\n",
     "|---|-----------|----------|------------|\n",

    "id": "bfc7b8c0",
    "metadata": {},
    "source": [
+    "## 7. Model training step 4: hyperparameter tuning of body regions"
    ]
   },
   {
    "id": "595e6b9d",
    "metadata": {},
    "source": [
+    "## 8. Model training step 5: feature engineering of polynomial features"
    ]
   },
   {
    "id": "2f3e5f57",
    "metadata": {},
    "source": [
+    "## 9. Final champion comparison from all iterations"
    ]
   },
   {
    "id": "eba1be0e",
    "metadata": {},
    "source": [
+    "## 10. Deployment\n",
     "\n",
     "The classification endpoint is added to the existing Gradio app as a second tab. Tab 1 has Movement Scoring from A2. Tab 2 has Body Region Classification which takes 40 deviation features as input and outputs the predicted body region. The model is an sklearn Pipeline of StandardScaler + LogisticRegression getting 76.4% accuracy and 77.4% F1-weighted.\n",
     "\n",
    "id": "67013cc1",
    "metadata": {},
    "source": [
+    "## 11. Virtual environment\n",
     "\n",
     "```bash\n",
     "python -m venv venv\n",
     "source venv/bin/activate\n",
    "id": "445419d9",
    "metadata": {},
    "source": [
+    "## 12. DevOps/MLOps process\n",
     "\n",
     "GitHub Actions automatically syncs the repository to HuggingFace Spaces when pushed to main. The workflow file is found at .github/workflows/push_to_hf_space.yml."
    ]
    "id": "7a142abd",
    "metadata": {},
    "source": [
+    "## 13. Contributions \n",
     "\n",
     "| Member | GitHub Issue | Tasks |\n",
     "|--------|--------------|-------|\n",
    "id": "f62680e2",
    "metadata": {},
    "source": [
+    "## 14. Iterations\n",
     "\n",
     "| # | Iteration | Approach | Key change |\n",
     "|---|-----------|----------|------------|\n",

requirements.txt CHANGED Viewed

@@ -1,6 +1,6 @@
 gradio>=4.0.0
 pandas>=2.0.0
 numpy>=1.24.0
-scikit-learn>=1.3.0
 statsmodels>=0.14.0
 matplotlib>=3.7.0

 gradio>=4.0.0
 pandas>=2.0.0
 numpy>=1.24.0
+scikit-learn==1.7.2
 statsmodels>=0.14.0
 matplotlib>=3.7.0