docs

ml_algorithms/linear_regression_gradient_descent.py

@@ -148,7 +148,7 @@ def interactive_run():
     theta = [0, 0]  # initial values
     model = LinearRegressionGradient(theta)
     n = st.slider("Number of samples", min_value=10, max_value=200, step=10)
-    if st.button("generate new data"):
+    if st.button("generate new data and solve"):
         X, y = random_data(n=n)
     mark("_Input_")
     mark(f"_X_ = {X}")