Refactor: Clean up codebase and improve documentation

README.md

@@ -1 +1,23 @@
 # rtichoke_python
+
+`rtichoke_python` is a Python package for interactive visualization of performance metrics for binary classification models. It provides a set of tools to create, plot, and analyze various discrimination and utility curves, helping data scientists and machine learning engineers assess and compare model performance.
+
+## Features
+
+- **Discrimination Curves**:
+  - Receiver Operating Characteristic (ROC)
+  - Precision-Recall
+  - Lift
+  - Gains
+
+- **Utility Curves**:
+  - Decision Curve Analysis (DCA)
+
+- **Interactive Plots**:
+  - Generate interactive plots using Plotly for in-depth analysis.
+
+- **Performance Data**:
+  - Easily prepare and handle performance data for plotting.
+
+- **Summary Reports**:
+  - Create summary reports to quickly assess model performance.

pyproject.toml

@@ -18,7 +18,7 @@ version = "0.1.22"
 description = "interactive visualizations for performance of predictive models"
 readme = "README.md"
 
-[dependency-groups]
+[project.optional-dependencies]
 dev = [
     "jupyter<2.0.0,>=1.0.0",
     "myst-nb<1.0.0,>=0.17.1; python_version ~= \"3.9\"",

src/rtichoke/__init__.py

@@ -1,8 +1,11 @@
 """rtichoke is a package for interactive vizualization of performance metrics"""
 
-from importlib.metadata import version
+from importlib.metadata import PackageNotFoundError, version
 
-__version__ = version("rtichoke")
+try:
+    __version__ = version("rtichoke")
+except PackageNotFoundError:
+    __version__ = "0.0.0"
 
 from rtichoke.discrimination.roc import create_roc_curve as create_roc_curve
 from rtichoke.discrimination.roc import plot_roc_curve as plot_roc_curve
@@ -20,21 +23,15 @@
 from rtichoke.discrimination.gains import create_gains_curve as create_gains_curve
 from rtichoke.discrimination.gains import plot_gains_curve as plot_gains_curve
 
-# from rtichoke.calibration.calibration import (
-#     create_calibration_curve as create_calibration_curve,
-# )
-
 from rtichoke.utility.decision import create_decision_curve as create_decision_curve
 from rtichoke.utility.decision import plot_decision_curve as plot_decision_curve
 
 from rtichoke.performance_data.performance_data import (
     prepare_performance_data as prepare_performance_data,
-    prepare_binned_classification_data as prepare_binned_classification_data,
 )
 
 from rtichoke.performance_data.performance_data_times import (
     prepare_performance_data_times as prepare_performance_data_times,
-    prepare_binned_classification_data_times as prepare_binned_classification_data_times,
 )
 
 from rtichoke.summary_report.summary_report import (
@@ -50,7 +47,6 @@
     "plot_precision_recall_curve",
     "create_gains_curve",
     "plot_gains_curve",
-    "create_calibration_curve",
     "create_decision_curve",
     "plot_decision_curve",
     "prepare_performance_data",