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ml_algorithms/linear_regression_gradient_descent.py

@@ -158,6 +158,20 @@ def interactive_run():
     tex(f"y = {model.theta[0]:.1f} + {model.theta[1]:.1f} x")  # print solution
     tex(f"loss = {model.loss_}")
 
+    mark("> How to run")
+    mark(
+        """
+    ```python
+    X, y = random_data()
+    theta = [0, 0]  # initial values
+    model = LinearRegressionGradient(theta)
+    model.gradientDescent(X, y, theta)  # run "i.e. optimize thetas"
+    # print solution
+    # print(f"y = {model.theta[0]:.1f} + {model.theta[1]:.1f} x")
+    # print(f"loss = {model.loss_}")
+    ```
+    """
+    )
     # -- visualize
     import matplotlib.pyplot as plt