Feat/Spam Detection Demo (#14)

* feat: added spam_detection demo

* chore: replaced helpers with nillion_python_helpers library

* fix: included nillion_python_helpers in time_series

* fix: added LogisticRegression to all

examples/README.md

@@ -6,6 +6,7 @@ The following are the currently available examples:
 - [Neural Net](./neural_net): shows how to build & run a simple Feed-Forward Neural Net (both linear layers & activations) using Nada AI
 - [Complex Model](./complex_model): shows how to build more intricate model architectures using Nada AI. Contains convolutions, pooling operations, linear layers and activations
 - [Time Series](./time_series): shows how to run a Facebook Prophet time series forecasting model using Nada AI
+- [Spam Detection Demo](./spam_detection): shows how to build a privacy-preserving spam detection model using Nada AI. Contains Logistic Regression, and cleartext TF-IDF vectorization.
 
 The Nada program source code is stored in `src/<EXAMPLE_NAME>.py`.
 

examples/complex_model/network/compute.py

@@ -13,8 +13,8 @@
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
 
 # Import helper functions for creating nillion client and getting keys
-from neural_net.network.helpers.nillion_client_helper import create_nillion_client
-from neural_net.network.helpers.nillion_keypath_helper import (
+from nillion_python_helpers import (
+    create_nillion_client,
     getUserKeyFromFile,
     getNodeKeyFromFile,
 )

examples/linear_regression/network/compute.py

@@ -13,8 +13,8 @@
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
 
 # Import helper functions for creating nillion client and getting keys
-from neural_net.network.helpers.nillion_client_helper import create_nillion_client
-from neural_net.network.helpers.nillion_keypath_helper import (
+from nillion_python_helpers import (
+    create_nillion_client,
     getUserKeyFromFile,
     getNodeKeyFromFile,
 )

examples/neural_net/network/compute.py

@@ -13,8 +13,8 @@
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
 
 # Import helper functions for creating nillion client and getting keys
-from neural_net.network.helpers.nillion_client_helper import create_nillion_client
-from neural_net.network.helpers.nillion_keypath_helper import (
+from nillion_python_helpers import (
+    create_nillion_client,
     getUserKeyFromFile,
     getNodeKeyFromFile,
 )