diff --git a/.gitignore b/.gitignore
index 9969891..9f4d28d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,5 @@
.idea/
manuscript/_build/
manuscript/exports/
-**/.DS_Store
\ No newline at end of file
+**/.DS_Store
+**/__pycache__
\ No newline at end of file
diff --git a/adaptivesplit/__init__.py b/adaptivesplit/__init__.py
index 480ce30..e69de29 100644
--- a/adaptivesplit/__init__.py
+++ b/adaptivesplit/__init__.py
@@ -1,6 +0,0 @@
-import adaptivesplit.base.learning_curve
-LearningCurve = adaptivesplit.base.learning_curve.LearningCurve
-
-from ._version import get_versions
-__version__ = get_versions()['version']
-del get_versions
diff --git a/manuscript/01-paper.md b/manuscript/01-paper.md
index 42bb5d8..39eff41 100644
--- a/manuscript/01-paper.md
+++ b/manuscript/01-paper.md
@@ -277,8 +277,13 @@ The proposed adaptive splitting design can advance the development of predictive
In conclusion, registered models provide a simple approach to guarantee the independence of model discovery and external validation and for the development and initial evaluation of registered models with unknown power, the introduced adaptive splitting procedure provides a robust and flexible approach to determine the optimal ratio of data to be used for model discovery and external validation. Together, registered models and the adaptive splitting procedure, address several common issues in the field, including overfitting, cross-validation failure, and boost the reliability and reproducibility.
+##### **Acknowledgements**
+
+The work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 422744262 - TRR 289 (Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) – Projektnummer 422744262 – TRR 289).
+
+
[^adaptive-split]: https://github.com/pni-lab/adaptivesplit
[^ixi]: https://brain-development.org/ixi-dataset/
[^nilearn]: http://nilearn.github.io/
[^scikit-learn]: https://scikit-learn.org/stable/
-[^abide-data]: https://osf.io/hc4md
\ No newline at end of file
+[^abide-data]: https://osf.io/hc4md
diff --git a/manuscript/03-package.ipynb b/manuscript/03-package.ipynb
index ae08e08..79258dc 100644
--- a/manuscript/03-package.ipynb
+++ b/manuscript/03-package.ipynb
@@ -12,29 +12,20 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 1,
"id": "initial_id",
"metadata": {
"ExecuteTime": {
- "end_time": "2023-10-02T12:29:32.433655624Z",
- "start_time": "2023-10-02T12:29:32.391389365Z"
+ "end_time": "2024-04-30T09:44:48.830886Z",
+ "start_time": "2024-04-30T09:44:48.826595Z"
},
"collapsed": true
},
- "outputs": [
- {
- "ename": "ModuleNotFoundError",
- "evalue": "No module named 'adaptivesplit.sklearn_interface'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32m/Users/tspisak/Dropbox/src/adaptivesplit/manuscript/03-package.ipynb Cell 2\u001b[0m line \u001b[0;36m5\n\u001b[1;32m 3\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mmatplotlib\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mpyplot\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mplt\u001b[39;00m\n\u001b[1;32m 4\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39msklearn\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmodel_selection\u001b[39;00m \u001b[39mimport\u001b[39;00m train_test_split\n\u001b[0;32m----> 5\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39madaptivesplit\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msklearn_interface\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39masi\u001b[39;00m\n",
- "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'adaptivesplit.sklearn_interface'"
- ]
- }
- ],
+ "outputs": [],
"source": [
+ "import sys\n",
+ "sys.path.insert(0, \"..\")\n",
+ "\n",
"from sklearn import datasets\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
@@ -42,45 +33,6 @@
"import adaptivesplit.sklearn_interface as asi"
]
},
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "5465b11e",
- "metadata": {},
- "outputs": [],
- "source": [
- "import sys\n",
- "sys.path = ['/Users/tspisak/Dropbox/src/adaptivesplit/manuscript',\n",
- " '/Users/tspisak/Dropbox/src/adaptivesplit/manuscript',\n",
- " '/usr/local/Cellar/python@3.9/3.9.6/Frameworks/Python.framework/Versions/3.9/lib/python39.zip',\n",
- " '/usr/local/Cellar/python@3.9/3.9.6/Frameworks/Python.framework/Versions/3.9/lib/python3.9',\n",
- " '/usr/local/Cellar/python@3.9/3.9.6/Frameworks/Python.framework/Versions/3.9/lib/python3.9/lib-dynload',\n",
- " '/Users/tspisak/Dropbox/src/adaptivesplit/venv/lib/python3.9/site-packages',\n",
- " '..']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "id": "5408832a",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "_NamespacePath(['/Users/tspisak/src/adaptivesplit'])"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import adaptivesplit\n",
- "adaptivesplit.__path__\n"
- ]
- },
{
"cell_type": "markdown",
"id": "f92e12d3cbebd43d",
@@ -93,12 +45,12 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 2,
"id": "a802aac1389a04c5",
"metadata": {
"ExecuteTime": {
- "end_time": "2023-10-02T12:29:32.434156799Z",
- "start_time": "2023-10-02T12:29:32.433419251Z"
+ "end_time": "2024-04-30T09:44:50.127218Z",
+ "start_time": "2024-04-30T09:44:50.115334Z"
},
"collapsed": false
},
@@ -126,26 +78,71 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 5,
"id": "b624c5e52506fe96",
"metadata": {
"ExecuteTime": {
- "end_time": "2023-10-02T12:29:55.574156169Z",
- "start_time": "2023-10-02T12:29:32.433961985Z"
+ "end_time": "2024-04-30T09:44:50.926742Z",
+ "start_time": "2024-04-30T09:44:50.865300Z"
},
"collapsed": false
},
"outputs": [
{
- "ename": "ModuleNotFoundError",
- "evalue": "No module named 'adaptivesplit.sklearn_interface'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32m/Users/tspisak/Dropbox/src/adaptivesplit/manuscript/03-package.ipynb Cell 6\u001b[0m line \u001b[0;36m1\n\u001b[1;32m 5\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39msklearn\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mlinear_model\u001b[39;00m \u001b[39mimport\u001b[39;00m RidgeCV\n\u001b[1;32m 7\u001b[0m model \u001b[39m=\u001b[39m RidgeCV(scoring\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mneg_mean_absolute_error\u001b[39m\u001b[39m'\u001b[39m,\n\u001b[1;32m 8\u001b[0m alphas\u001b[39m=\u001b[39m(\u001b[39m0.1\u001b[39m, \u001b[39m1\u001b[39m, \u001b[39m10\u001b[39m)) \u001b[39m# default alpha values;\u001b[39;00m\n\u001b[0;32m---> 10\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39madaptivesplit\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msklearn_interface\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39msplit\u001b[39;00m \u001b[39mimport\u001b[39;00m AdaptiveSplit\n\u001b[1;32m 12\u001b[0m adsplit \u001b[39m=\u001b[39m AdaptiveSplit(total_sample_size\u001b[39m=\u001b[39m\u001b[39mlen\u001b[39m(y_train), plotting\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m)\n\u001b[1;32m 13\u001b[0m res, fig \u001b[39m=\u001b[39m adsplit(X_train, y_train, model, fast_mode\u001b[39m=\u001b[39m\u001b[39mTrue\u001b[39;00m, predict\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m, random_state\u001b[39m=\u001b[39m\u001b[39m42\u001b[39m)\n",
- "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'adaptivesplit.sklearn_interface'"
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Calculating learning curve: 100%|██████████| 1200/1200 [00:16<00:00, 73.57it/s] \n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "c:\\Users\\teari\\anaconda3\\envs\\sklearn\\Lib\\site-packages\\pygam\\pygam.py:1150: RuntimeWarning: divide by zero encountered in scalar divide\n",
+ " r2['explained_deviance'] = 1.0 - full_d.sum() / null_d.sum()\n",
+ "c:\\Users\\teari\\anaconda3\\envs\\sklearn\\Lib\\site-packages\\pygam\\pygam.py:1150: RuntimeWarning: divide by zero encountered in scalar divide\n",
+ " r2['explained_deviance'] = 1.0 - full_d.sum() / null_d.sum()\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "c:\\Users\\teari\\anaconda3\\envs\\sklearn\\Lib\\site-packages\\pygam\\pygam.py:1150: RuntimeWarning: divide by zero encountered in scalar divide\n",
+ " r2['explained_deviance'] = 1.0 - full_d.sum() / null_d.sum()\n",
+ "c:\\Users\\teari\\anaconda3\\envs\\sklearn\\Lib\\site-packages\\pygam\\pygam.py:1150: RuntimeWarning: divide by zero encountered in scalar divide\n",
+ " r2['explained_deviance'] = 1.0 - full_d.sum() / null_d.sum()\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n",
+ " 0% (0 of 5) | | Elapsed Time: 0:00:00 ETA: --:--:--\n",
+ "100% (5 of 5) |##########################| Elapsed Time: 0:00:00 Time: 0:00:00\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "AdaptiveSplitResults(stop=True, predicted=False, estimated_stop=13823, current_sample_size=13828, score_if_stop=-0.5303170596309875, score_if_stop_now_ci=(-0.6793798059716281, -0.5210603382473786), power_if_stop_now=-0.04007880548353565, power_if_stop_now_ci=(-0.3974375057013489, 0.7068074100269603), score_predicted=None, score_predicted_ci=(None, None), power_predicted=None, power_predicted_ci=(None, None))\n"
]
+ },
+ {
+ "data": {
+ "image/png": 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",
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