#326 Fixed few deficiencies

doc/changes/changes_3.1.0.md

@@ -4,3 +4,10 @@
 
 * #324 Used pytest-plugins in notebook tests.
 
+## Bug Fixes
+
+* #326
+ - Scikit-learn notebook: call model's fit and predict with numpy arrays;
+ - Ibis notebook: added a link to this notebook on the front page;
+ - Configuration: added internal bucket-fs host name and port;
+ - Upgraded jupyterlab to 4.2.5.

exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/jupyter_requirements.txt

@@ -1,2 +1,2 @@
-jupyterlab==4.1.1
+jupyterlab==4.2.5
 pexpect==4.8.0

exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/notebook/sklearn/sklearn_predict_udf.ipynb

@@ -93,7 +93,7 @@
  " # Call the model to get the predictions. Omit the first column in the input\n",
  " # which holds the sample IDs.\n",
  " df_features = X_pred.drop(X_pred.columns[0], axis=1)\n",
- " y_pred = model.predict(df_features)\n",
+ " y_pred = model.predict(df_features.values)\n",
  "\n",
  " # Combine predictions with the sample IDs.\n",
  " df_rowid = X_pred[X_pred.columns[0]].reset_index(drop=True)\n",

exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/notebook/sklearn/sklearn_train_telescope.ipynb

@@ -91,7 +91,7 @@
  "\n",
  "# Create and train the model.\n",
  "model = tree.DecisionTreeClassifier()\n",
- "model.fit(X_train.values, y_train)\n",
+ "model.fit(X_train.values, y_train.values)\n",
  "\n",
  "print(f\"Training took: {stopwatch}\")"
  ]
@@ -118,7 +118,7 @@
  "import matplotlib.pyplot as plt\n",
  "\n",
  "# Make the predictions on the validation set.\n",
- "y_pred = model.predict(X_valid)\n",
+ "y_pred = model.predict(X_valid.values)\n",
  "\n",
  "# Build and display the confusion matrix.\n",
  "cm = confusion_matrix(y_valid, y_pred, labels=model.classes_)\n",

exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/notebook/start.ipynb

@@ -41,6 +41,7 @@
  "1. [Transformers extension](transformers/te_introduction.ipynb)\n",
  "1. [Cloud store](cloud/01_import_data.ipynb)\n",
  "1. [Script Languages Container](script_languages_container/using_the_script_languages_container_tool.ipynb)\n",
+ "1. [Using IBIS dataframe library](ibis/quickstart.ipynb)\n",
  "\n"
  ]
  }

exasol/ds/sandbox/runtime/ansible/roles/jupyter/files/notebook/utils/main_config_ui.ipynb

@@ -104,7 +104,7 @@
  "\n",
  " inputs = [\n",
  " [\n",
- " ('Host Name', widgets.Text(value=conf.get(CKey.db_host_name, '127.0.0.1')), CKey.db_host_name),\n",
+ " ('Host Name', widgets.Text(value=conf.get(CKey.db_host_name, 'localhost')), CKey.db_host_name),\n",
  " ('Port', widgets.IntText(value=int(conf.get(CKey.db_port, '8563'))), CKey.db_port),\n",
  " ('User Name', widgets.Text(value=conf.get(CKey.db_user)), CKey.db_user),\n",
  " ('Password', widgets.Password(value=conf.get(CKey.db_password)), CKey.db_password),\n",
@@ -113,8 +113,10 @@
  " CKey.db_encryption)\n",
  " ],\n",
  " [\n",
- " ('Host Name', widgets.Text(value=conf.get(CKey.bfs_host_name, '127.0.0.1')), CKey.bfs_host_name),\n",
- " ('Port', widgets.IntText(value=int(conf.get(CKey.bfs_port, '2580'))), CKey.bfs_port),\n",
+ " ('External Host Name', widgets.Text(value=conf.get(CKey.bfs_host_name, 'localhost')), CKey.bfs_host_name),\n",
+ " ('Internal Host Name', widgets.Text(value=conf.get(CKey.bfs_host_name, 'localhost')), CKey.bfs_internal_host_name),\n",
+ " ('External Port', widgets.IntText(value=int(conf.get(CKey.bfs_port, '2580'))), CKey.bfs_port),\n",
+ " ('Internal Port', widgets.IntText(value=int(conf.get(CKey.bfs_port, '2580'))), CKey.bfs_internal_port),\n",
  " ('User Name', widgets.Text(value=conf.get(CKey.bfs_user)), CKey.bfs_user),\n",
  " ('Password', widgets.Password(value=conf.get(CKey.bfs_password)), CKey.bfs_password),\n",
  " ('Service Name', widgets.Text(value=conf.get(CKey.bfs_service, 'bfsdefault')), CKey.bfs_service),\n",