Added a tutorial on how to use PyTorch Tabular models together with V…

…irny
DataResponsibly · Sep 14, 2024 · 107e322 · 107e322
1 parent d6a6bd1
commit 107e322
Show file tree

Hide file tree

Showing 21 changed files with 1,882 additions and 18 deletions.
diff --git a/.gitignore b/.gitignore
@@ -9,6 +9,9 @@ notebooks
 .ipynb_checkpoints
 docs/examples/test.py
 tests/results
+.pt_tmp
+lightning_logs
+saved_models
 
 # Remove big files from GitHub repo
 virny/datasets/2018

diff --git a/docs/examples/.pages b/docs/examples/.pages
@@ -6,3 +6,4 @@ nav:
     - Multiple_Models_Interface_With_Multiple_Test_Sets.md
     - Multiple_Models_Interface_With_Inprocessor.md
     - Multiple_Models_Interface_With_Postprocessor.md
+    - Multiple_Models_Interface_With_PyTorch_Tabular.md
diff --git a/docs/examples/Multiple_Models_Interface_Use_Case.ipynb b/docs/examples/Multiple_Models_Interface_Use_Case.ipynb
@@ -409,7 +409,7 @@
    "outputs": [],
    "source": [
     "column_transformer = ColumnTransformer(transformers=[\n",
-    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),\n",
+    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),\n",
     "    ('numerical_features', StandardScaler(), data_loader.numerical_columns),\n",
     "])"
    ],

diff --git a/docs/examples/Multiple_Models_Interface_Use_Case.md b/docs/examples/Multiple_Models_Interface_Use_Case.md
@@ -267,7 +267,7 @@ data_loader.X_data[data_loader.X_data.columns[:5]].head()
 
 ```python
 column_transformer = ColumnTransformer(transformers=[
-    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),
+    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),
     ('numerical_features', StandardScaler(), data_loader.numerical_columns),
 ])
 ```

diff --git a/docs/examples/Multiple_Models_Interface_With_DB_Writer.ipynb b/docs/examples/Multiple_Models_Interface_With_DB_Writer.ipynb
@@ -288,7 +288,7 @@
    "outputs": [],
    "source": [
     "column_transformer = ColumnTransformer(transformers=[\n",
-    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),\n",
+    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),\n",
     "    ('numerical_features', StandardScaler(), data_loader.numerical_columns),\n",
     "])"
    ],

diff --git a/docs/examples/Multiple_Models_Interface_With_DB_Writer.md b/docs/examples/Multiple_Models_Interface_With_DB_Writer.md
@@ -183,7 +183,7 @@ data_loader.X_data[data_loader.X_data.columns[:5]].head()
 
 ```python
 column_transformer = ColumnTransformer(transformers=[
-    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),
+    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),
     ('numerical_features', StandardScaler(), data_loader.numerical_columns),
 ])
 ```

diff --git a/docs/examples/Multiple_Models_Interface_With_Error_Analysis.ipynb b/docs/examples/Multiple_Models_Interface_With_Error_Analysis.ipynb
@@ -318,7 +318,7 @@
    "outputs": [],
    "source": [
     "column_transformer = ColumnTransformer(transformers=[\n",
-    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),\n",
+    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),\n",
     "    ('numerical_features', StandardScaler(), data_loader.numerical_columns),\n",
     "])"
    ],

diff --git a/docs/examples/Multiple_Models_Interface_With_Error_Analysis.md b/docs/examples/Multiple_Models_Interface_With_Error_Analysis.md
@@ -189,7 +189,7 @@ data_loader.X_data[data_loader.X_data.columns[:5]].head()
 
 ```python
 column_transformer = ColumnTransformer(transformers=[
-    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),
+    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),
     ('numerical_features', StandardScaler(), data_loader.numerical_columns),
 ])
 ```

diff --git a/docs/examples/Multiple_Models_Interface_With_Inprocessor.ipynb b/docs/examples/Multiple_Models_Interface_With_Inprocessor.ipynb
@@ -291,7 +291,7 @@
    "outputs": [],
    "source": [
     "column_transformer = ColumnTransformer(transformers=[\n",
-    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),\n",
+    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),\n",
     "    ('numerical_features', StandardScaler(), data_loader.numerical_columns),\n",
     "])"
    ],

diff --git a/docs/examples/Multiple_Models_Interface_With_Inprocessor.md b/docs/examples/Multiple_Models_Interface_With_Inprocessor.md
@@ -176,7 +176,7 @@ data_loader.X_data[data_loader.X_data.columns[:5]].head()
 
 ```python
 column_transformer = ColumnTransformer(transformers=[
-    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),
+    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),
     ('numerical_features', StandardScaler(), data_loader.numerical_columns),
 ])
 ```

diff --git a/docs/examples/Multiple_Models_Interface_With_Multiple_Test_Sets.ipynb b/docs/examples/Multiple_Models_Interface_With_Multiple_Test_Sets.ipynb
@@ -266,7 +266,7 @@
    "outputs": [],
    "source": [
     "column_transformer = ColumnTransformer(transformers=[\n",
-    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),\n",
+    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),\n",
     "    ('numerical_features', StandardScaler(), data_loader.numerical_columns),\n",
     "])"
    ],

diff --git a/docs/examples/Multiple_Models_Interface_With_Multiple_Test_Sets.md b/docs/examples/Multiple_Models_Interface_With_Multiple_Test_Sets.md
@@ -175,7 +175,7 @@ data_loader.X_data[data_loader.X_data.columns[:5]].head()
 
 ```python
 column_transformer = ColumnTransformer(transformers=[
-    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),
+    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),
     ('numerical_features', StandardScaler(), data_loader.numerical_columns),
 ])
 ```

diff --git a/docs/examples/Multiple_Models_Interface_With_Postprocessor.ipynb b/docs/examples/Multiple_Models_Interface_With_Postprocessor.ipynb
@@ -334,7 +334,7 @@
    "outputs": [],
    "source": [
     "column_transformer = ColumnTransformer(transformers=[\n",
-    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),\n",
+    "    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),\n",
     "    ('numerical_features', StandardScaler(), data_loader.numerical_columns),\n",
     "])"
    ],

diff --git a/docs/examples/Multiple_Models_Interface_With_Postprocessor.md b/docs/examples/Multiple_Models_Interface_With_Postprocessor.md
@@ -208,7 +208,7 @@ data_loader.X_data[data_loader.X_data.columns[:5]].head()
 
 ```python
 column_transformer = ColumnTransformer(transformers=[
-    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse=False), data_loader.categorical_columns),
+    ('categorical_features', OneHotEncoder(handle_unknown='ignore', sparse_output=False), data_loader.categorical_columns),
     ('numerical_features', StandardScaler(), data_loader.numerical_columns),
 ])
 ```