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Runtime error
| import streamlit as st | |
| from page_config import APP_PAGE_HEADER | |
| from ml_algorithms.linear_regression_gradient_descent import app as lrgd_app | |
| APP_PAGE_HEADER() | |
| with st.expander("Linear Regression using Gradient Descent"): | |
| lrgd_app() | |
| def app2(): | |
| import streamlit as st | |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| st.write("*** Program Started ***") | |
| n = 50 | |
| x = np.arange(-n / 2, n / 2, 1, dtype=np.float64) | |
| m = np.random.uniform(0.3, 0.5, (n,)) | |
| b = np.random.uniform(5, 10, (n,)) | |
| y = x * m + b | |
| print("x", x, type(x[0])) | |
| print("y", y, type(y[0])) | |
| plt.scatter( | |
| x, | |
| y, | |
| s=None, | |
| marker="o", | |
| color="g", | |
| edgecolors="g", | |
| alpha=0.9, | |
| label="Linear Relation", | |
| ) | |
| plt.grid(color="black", linestyle="--", linewidth=0.5, markevery=int) | |
| plt.legend(loc=2) | |
| plt.axis("scaled") | |
| st.pyplot(plt.show()) | |
| # app2() | |