Add manual test procedure for CLI

Signed-off-by: Darko Draskovic <darko.draskovic@gmail.com>

test/manual/algo/lin_reg.py

@@ -0,0 +1,47 @@
+import sys, io
+import joblib
+import socket
+
+import pandas as pd
+from sklearn.model_selection import train_test_split
+from sklearn.linear_model import LogisticRegression
+
+dataset = sys.argv[1]
+iris = pd.read_csv(io.StringIO(dataset))
+
+# Droping the Species since we only need the measurements
+X = iris.drop(['Species'], axis=1)
+
+# converting into numpy array and assigning petal length and petal width
+X = X.to_numpy()[:, (3,4)]
+y = iris['Species']
+
+# Splitting into train and test
+X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.5, random_state=42)
+
+log_reg = LogisticRegression()
+log_reg.fit(X_train,y_train)
+
+# Serialize the trained model to a byte buffer
+model_buffer = io.BytesIO()
+joblib.dump(log_reg, model_buffer)
+
+# Get the serialized model as a bytes object
+model_bytes = model_buffer.getvalue()
+
+# Define the path for the Unix domain socket
+socket_path = sys.argv[2]
+
+# Create a Unix domain socket client
+client = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
+
+try:
+    # Connect to the server
+    client.connect(socket_path)
+
+    # Send the serialized model over the socket
+    client.send(model_bytes)
+
+finally:
+    # Close the socket
+    client.close()