Update/dash aix360 heart

apps/dash-aix360-heart/README.md

@@ -38,11 +38,11 @@ cd dash-sample-apps/apps/dash-aix360-heart
 
 Create and activate a conda env:
 ```
-conda create -n dash-aix360-heart python=3.7.6
+conda create -n dash-aix360-heart python=3.12
 conda activate dash-aix360-heart
 ```
 
-Or a venv (make sure your `python3` is 3.6+):
+Or a venv (make sure your `python3` is 3.11 or 3.12):
 ```
 python3 -m venv venv
 source venv/bin/activate  # for Windows, use venv\Scripts\activate.bat

apps/dash-aix360-heart/app.py

@@ -1,7 +1,6 @@
 import dash
 import dash_bootstrap_components as dbc
-import dash_core_components as dcc
-import dash_html_components as html
+from dash import dcc, html
 from dash.dependencies import Input, Output
 import pandas as pd
 import plotly.express as px
@@ -22,7 +21,7 @@ def Header(name, app):
 
 
 def LabeledSelect(label, **kwargs):
-    return dbc.FormGroup([dbc.Label(label), dbc.Select(**kwargs)])
+    return html.Div([dbc.Label(label), dbc.Select(**kwargs)], className="mb-3")
 
 
 # Compute the explanation dataframe, GAM, and scores
@@ -139,4 +138,4 @@ def update_figures(gam_col, coef_col):
 
 
 if __name__ == "__main__":
-    app.run_server(debug=True)
+    app.run(debug=True)

apps/dash-aix360-heart/pyproject.toml

@@ -0,0 +1,15 @@
+[project]
+name = "dash-aix360-heart"
+version = "0.1.0"
+requires-python = ">=3.11,<3.13"
+dependencies = [
+    "aix360>=0.3.0",
+    "cvxpy>=1.7.5",
+    "scikit-learn>=1.3.2,<1.4",
+    "numpy>=1.26.4,<2",
+    "pandas>=3.0.5",
+    "dash>=4.4.1",
+    "dash-bootstrap-components>=2.0.4",
+    "plotly>=7.0.0",
+    "gunicorn>=26.2.0",
+]

apps/dash-aix360-heart/requirements.txt

@@ -1,96 +1,54 @@
-absl-py==0.12.0
-aix360==0.2.1
-asgiref==3.3.4
-astor==0.8.1
-backcall==0.2.0
-bleach==3.3.0
-Brotli==1.0.9
-cached-property==1.5.2
-certifi==2020.12.5
-chardet==4.0.0
-click==8.0.1
-cvxopt==1.2.6
-cvxpy==1.1.13
-cycler==0.10.0
-Cython==0.29.23
-dash==1.20.0
-dash-bootstrap-components==0.12.2
-dash-core-components==1.16.0
-dash-html-components==1.1.3
-dash-renderer==1.9.1
-dash-table==4.11.3
-decorator==4.4.2
-Django==3.2.4
-docutils==0.17.1
-ecos==2.0.7.post1
-Flask==2.0.1
-Flask-Compress==1.9.0
-future==0.18.2
-gast==0.4.0
-google-pasta==0.2.0
-grpcio==1.38.0
-gunicorn==20.1.0
-h5py==3.2.1
-idna==2.10
-image==1.5.33
-imageio==2.9.0
-importlib-metadata==4.3.0
-ipython-genutils==0.2.0
-itsdangerous==2.0.1
-Jinja2==3.0.1
-joblib==1.0.1
-Keras==2.3.1
-Keras-Applications==1.0.8
-Keras-Preprocessing==1.1.2
-kiwisolver==1.3.1
-lime==0.1.1.37
-Markdown==3.3.4
-MarkupSafe==2.0.1
-matplotlib==3.4.2
-networkx==2.5.1
-numpy==1.20.3
-osqp==0.6.2.post0
-packaging==20.9
-pandas==1.2.4
-pexpect==4.8.0
-pickleshare==0.7.5
-Pillow==8.2.0
-plotly==4.14.3
-progressbar==2.5
-protobuf==3.17.1
-Pygments==2.9.0
-pyparsing==2.4.7
-python-dateutil==2.8.1
-pytz==2021.1
-PyWavelets==1.1.1
-PyYAML==5.4.1
-qdldl==0.1.5.post0
-qpsolvers==1.6.1
-quadprog==0.1.8
-requests==2.25.1
-retrying==1.3.3
-scikit-image==0.18.1
-scikit-learn==0.24.2
-scipy==1.6.3
-scs==2.1.3
-shap==0.34.0
-six==1.16.0
-sqlparse==0.4.1
-tensorboard==1.14.0
-tensorflow==1.14.0
-tensorflow-estimator==1.14.0
-termcolor==1.1.0
-threadpoolctl==2.1.0
-tifffile==2021.4.8
-torch==1.8.1
-torchvision==0.9.1
-tqdm==4.61.0
-typing-extensions==3.10.0.0
-urllib3==1.26.5
-wcwidth==0.2.5
-webencodings==0.5.1
-Werkzeug==2.0.1
-wrapt==1.12.1
-xgboost==1.0.2
-xport==3.2.1
-zipp==3.4.1
+aix360==0.3.0
+annotated-types==0.8.0
+blinker==1.9.0
+certifi==2026.7.22
+cffi==2.1.1
+charset-normalizer==3.5.1
+clarabel==0.11.1
+click==8.5.0
+cloudpickle==3.1.2
+comm==0.2.3
+contourpy==1.3.3
+cvxpy==1.7.5
+cycler==0.12.1
+dash==4.4.1
+dash-bootstrap-components==2.0.4
+flask==3.1.3
+fonttools==4.64.0
+gunicorn==26.2.0
+idna==3.19
+importlib-metadata==9.0.1
+itsdangerous==2.2.0
+janus==2.0.0
+jinja2==3.1.6
+joblib==1.6.0
+kiwisolver==1.5.1
+markupsafe==3.0.3
+matplotlib==3.11.1
+narwhals==2.25.0
+nest-asyncio==1.6.0
+numpy==1.26.4
+osqp==1.1.3
+packaging==26.3
+pandas==3.0.5
+pillow==12.3.0
+plotly==7.0.0
+pycparser==3.0 ; implementation_name != 'PyPy'
+pydantic==2.13.5
+pydantic-core==2.46.5
+pyparsing==3.3.2
+python-dateutil==2.9.0.post0
+requests==2.34.2
+retrying==1.4.2
+scikit-learn==1.3.2
+scipy==1.17.1
+scs==3.3.1
+setuptools==84.0.0
+six==1.17.0
+threadpoolctl==3.6.0
+typing-extensions==4.16.0
+typing-inspection==0.4.4
+tzdata==2026.3 ; sys_platform == 'emscripten' or sys_platform == 'win32'
+urllib3==2.7.0
+werkzeug==3.1.8
+zipp==4.1.0

apps/dash-aix360-heart/runtime.txt

@@ -1 +1 @@
-python-3.7.6
+python-3.12.11

apps/dash-aix360-heart/utils.py

@@ -30,7 +30,7 @@ def compute_plot_gam(model, Xorig, fb, features=None):
         if (features is not None) and (f not in features):
             continue
         # Append term
-        terms = terms.append(pd.Series(model.lr.coef_[0, i], index=[(f, "", "")]))
+        terms = pd.concat([terms, pd.Series(model.lr.coef_[0, i], index=[(f, "", "")])])
         # Initialize x values with min and max
         xPlot[f] = [Xorig[f].min(), Xorig[f].max()]
 
@@ -45,7 +45,7 @@ def compute_plot_gam(model, Xorig, fb, features=None):
         if (features is not None) and (f not in features):
             continue
         # Append new term
-        terms = terms.append(pd.Series(model.lr.coef_[0, i + nnzOrd], index=idxTerm))
+        terms = pd.concat([terms, pd.Series(model.lr.coef_[0, i + nnzOrd], index=idxTerm)])
         # Update x values
         if f not in xPlot:
             if o in ["<=", ">"]:
@@ -68,7 +68,7 @@ def compute_plot_gam(model, Xorig, fb, features=None):
         xPlot[f] = np.sort(np.array(xPlot[f]))
         yPlot[f] = np.zeros_like(xPlot[f], dtype=float)
         # Iterate over terms involving feature
-        for ((o, v), c) in terms[f].iteritems():
+        for ((o, v), c) in terms[f].items():
             if o == "":
                 if model.useOrd and (f in fb.ordinal):
                     # Add linear function of standardized feature with same factor of 0.4