make 1.3.0 release (#402)

* bumped version --> 1.3

* ran notebook

* adds change to SI-graph plot and network plot to CHANGELOG.md

* ran notebooks with version 1.3

Author: mmschlk

CHANGELOG.md

@@ -11,6 +11,7 @@
 - made `InteractionValues.get_n_order()` and `InteractionValues.get_n_order_values()` function more efficient by iterating over the stored interactions and not over the powerset of all potential interactions, which made the function not usable for higher player counts (models with many features, and results obtained from `TreeExplainer`). Note, this change does not really help `get_n_order_values()` as it still needs to create a numpy array of shape `n_players` times `order` [#372](https://github.com/mmschlk/shapiq/pull/372)
 - streamlined the ``network_plot()`` plot function to use the ``si_graph_plot()`` as its backend function. This allows for more flexibility in the plot function and makes it easier to use the same code for different purposes. In addition, the ``si_graph_plot`` was modified to make plotting more easy and allow for more flexibility with new parameters. [#349](https://github.com/mmschlk/shapiq/pull/349)
 - adds `Game.compute()` method to the `shapiq.Game` class to compute game values without changing the state of the game object. The compute method also introduces a `shapiq.utils.sets.generate_interaction_lookup_from_coalitions()` utility method which creates an interaction lookup dict from an array of coalitions. [#397](https://github.com/mmschlk/shapiq/pull/397)
+- streamlines the creation of network plots and graph plots which now uses the same backend. The network plot via `shapiq.network_plot()` or `InteractionValues.plot_network()` is now a special case of the `shapiq.si_graph_plot()` and `InteractionValues.plot_si_graph()`. This allows to create more beautiful plots and easier maintenance in the future. [#349](https://github.com/mmschlk/shapiq/pull/349)
 
 #### Testing, Code-Quality and Documentation
 - activates ``"ALL"`` rules in ``ruff-format`` configuration to enforce stricter code quality checks and addressed around 500 (not automatically solvable) issues in the code base. [#391](https://github.com/mmschlk/shapiq/pull/391)

README.md

@@ -11,8 +11,8 @@
 [![PePy](https://static.pepy.tech/badge/shapiq?style=flat-square)](https://pepy.tech/project/shapiq)
 
 [![Code Style](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
-![Contributions Welcome](https://img.shields.io/badge/contributions-welcome-brightgreen)
-![Last Commit](https://img.shields.io/github/last-commit/mmschlk/shapiq)
+[![Contributions Welcome](https://img.shields.io/badge/contributions-welcome-brightgreen)](https://github.com/mmschlk/shapiq/issues)
+[![Last Commit](https://img.shields.io/github/last-commit/mmschlk/shapiq)](https://github.com/mmschlk/shapiq/commits/main)
 
 > An interaction may speak more than a thousand main effects.
 
@@ -192,7 +192,7 @@ There is a lot of great resources available to get you started with Shapley valu
 If you use ``shapiq`` and enjoy it, please consider citing our [NeurIPS paper](https://arxiv.org/abs/2410.01649) or consider starring this repository.
 
 ```bibtex
-@inproceedings{muschalik2024shapiq,
+@inproceedings{Muschalik.2024b,
   title     = {shapiq: Shapley Interactions for Machine Learning},
   author    = {Maximilian Muschalik and Hubert Baniecki and Fabian Fumagalli and
                Patrick Kolpaczki and Barbara Hammer and Eyke H\"{u}llermeier},

docs/source/notebooks/basics_notebooks/custom_games.ipynb

@@ -13,8 +13,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.348534Z",
-     "start_time": "2025-05-27T07:25:56.297765Z"
+     "end_time": "2025-06-16T15:20:32.064524Z",
+     "start_time": "2025-06-16T15:20:32.062415Z"
     }
    },
    "source": [
@@ -24,21 +24,18 @@
     "\n",
     "import shapiq\n",
     "\n",
-    "shapiq.__version__"
+    "print(f\"shapiq version: {shapiq.__version__}\")"
    ],
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "'1.2.3.9000'"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "shapiq version: 1.3.0\n"
+     ]
     }
    ],
-   "execution_count": 1
+   "execution_count": 19
   },
   {
    "cell_type": "markdown",
@@ -90,8 +87,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.356682Z",
-     "start_time": "2025-05-27T07:25:57.352446Z"
+     "end_time": "2025-06-16T15:20:32.078835Z",
+     "start_time": "2025-06-16T15:20:32.074535Z"
     }
    },
    "source": [
@@ -144,12 +141,12 @@
        "CookingGame(3 players, normalize=False, normalization_value=0, precomputed=False)"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 2
+   "execution_count": 20
   },
   {
    "cell_type": "markdown",
@@ -163,8 +160,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.413564Z",
-     "start_time": "2025-05-27T07:25:57.410909Z"
+     "end_time": "2025-06-16T15:20:32.085634Z",
+     "start_time": "2025-06-16T15:20:32.083132Z"
     }
    },
    "source": [
@@ -179,19 +176,19 @@
        "array([ 0,  9,  8,  7, 15])"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 3
+   "execution_count": 21
   },
   {
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.424552Z",
-     "start_time": "2025-05-27T07:25:57.422121Z"
+     "end_time": "2025-06-16T15:20:32.092193Z",
+     "start_time": "2025-06-16T15:20:32.089699Z"
     }
    },
    "source": [
@@ -212,19 +209,19 @@
        "array([ 0,  9,  8,  7, 15])"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 4
+   "execution_count": 22
   },
   {
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.443453Z",
-     "start_time": "2025-05-27T07:25:57.441644Z"
+     "end_time": "2025-06-16T15:20:32.105678Z",
+     "start_time": "2025-06-16T15:20:32.103860Z"
     }
    },
    "source": [
@@ -244,7 +241,7 @@
      ]
     }
    ],
-   "execution_count": 5
+   "execution_count": 23
   },
   {
    "cell_type": "markdown",
@@ -261,8 +258,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.502377Z",
-     "start_time": "2025-05-27T07:25:57.462610Z"
+     "end_time": "2025-06-16T15:20:32.119911Z",
+     "start_time": "2025-06-16T15:20:32.114906Z"
     }
    },
    "source": [
@@ -295,7 +292,7 @@
       "application/vnd.jupyter.widget-view+json": {
        "version_major": 2,
        "version_minor": 0,
-       "model_id": "2f44d89de8a14713865c0cd7e3a8661c"
+       "model_id": "05bf32c208f04d74859ef98492bb9957"
       }
      },
      "metadata": {},
@@ -310,7 +307,7 @@
      ]
     }
    ],
-   "execution_count": 6
+   "execution_count": 24
   },
   {
    "cell_type": "markdown",
@@ -324,8 +321,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.573362Z",
-     "start_time": "2025-05-27T07:25:57.568146Z"
+     "end_time": "2025-06-16T15:20:32.128002Z",
+     "start_time": "2025-06-16T15:20:32.124391Z"
     }
    },
    "source": [
@@ -349,7 +346,7 @@
      ]
     }
    ],
-   "execution_count": 7
+   "execution_count": 25
   },
   {
    "cell_type": "markdown",
@@ -363,8 +360,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.599153Z",
-     "start_time": "2025-05-27T07:25:57.595724Z"
+     "end_time": "2025-06-16T15:20:32.140328Z",
+     "start_time": "2025-06-16T15:20:32.137239Z"
     }
    },
    "source": [
@@ -390,12 +387,12 @@
        "array([ 0.,  9.,  8.,  7., 15.])"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 8
+   "execution_count": 26
   },
   {
    "cell_type": "markdown",
@@ -409,8 +406,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-05-27T07:25:57.611952Z",
-     "start_time": "2025-05-27T07:25:57.610028Z"
+     "end_time": "2025-06-16T15:20:32.145431Z",
+     "start_time": "2025-06-16T15:20:32.143884Z"
     }
    },
    "source": [
@@ -430,7 +427,7 @@
      ]
     }
    ],
-   "execution_count": 9
+   "execution_count": 27
   }
  ],
  "metadata": {