FIX data loading depending on Python version (#262)

* And corrections in notebooks to match latest updates

---------

Co-authored-by: Vincent Auriau <auriau.vincent@gmail.com>

Author: michaelteboul

choice_learn/datasets/base.py

@@ -35,12 +35,11 @@ def get_path(data_file_name, module=DATA_MODULE):
     """
     import sys
 
-    if sys.version >= "3.9":
+    if int(sys.version.split(".")[1]) >= 9:
         return resources.files(module.replace("/", ".")) / data_file_name
-
     # with resources.path(module, data_file_name) as path:
     #     return path
-    path = Path(module).resolve() / data_file_name
+    path = Path(os.path.join("../..", module)).resolve() / data_file_name
     return path.as_posix()
 
 

notebooks/introduction/4_model_customization.ipynb

@@ -223,15 +223,15 @@
     "        self,\n",
     "        add_exit_choice=False, # Whether to add exit choice with utility=1\n",
     "        optimizer=\"lbfgs\", # Optimizer to use\n",
-    "        tolerance=1e-8, # Absolute function tolerance for optimality if lbfgs is used\n",
+    "        lbfgs_tolerance=1e-8, # Absolute function tolerance for optimality if lbfgs is used\n",
     "        lr=0.001, # learning rate if stochastic gradient descent optimizer\n",
     "        epochs=1000, # maximum number of epochs\n",
     "        batch_size=32, # batch size if stochastic gradient descent optimizer\n",
     "    ):\n",
     "        \"\"\"Model coefficients instantiation.\"\"\"\n",
     "        super().__init__(add_exit_choice=add_exit_choice,\n",
     "                         optimizer=optimizer,\n",
-    "                         tolerance=tolerance,\n",
+    "                         lbfgs_tolerance=lbfgs_tolerance,\n",
     "                         lr=lr,\n",
     "                         epochs=epochs,\n",
     "                         batch_size=batch_size)\n",
@@ -592,7 +592,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "tf_env",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },