Created
July 23, 2022 10:00
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import numpy as np | |
import pandas as pd | |
import streamlit as st | |
tabs = st.tabs(["metrics", "plots", "reports"]) | |
tab_metrics = tabs[0] | |
with tab_metrics: | |
st.metric("Precision", 0.85, delta=0.2) | |
st.metric("Recall", 0.60, delta=-0.1) | |
tab_plots = tabs[1] | |
with tab_plots: | |
cols = st.columns(2) | |
with cols[0]: | |
st.image("./roc.png") | |
with cols[1]: | |
st.image("./loss.webp") | |
x = np.arange(0, 100, 0.01) * 1.5 | |
noise = np.random.rand(*x.shape) | |
y = x + noise | |
data = pd.DataFrame(index=x, data=y, columns=["y"]) | |
st.line_chart(data) |
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