23 lines
838 B
Python
23 lines
838 B
Python
import streamlit as st
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import sys
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import os
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '../../backend')))
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from dbscan_strategy import perform_dbscan_clustering
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st.header("Clustering: DBSCAN")
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if "data" in st.session_state:
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data = st.session_state.data
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with st.form("dbscan_form"):
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data_name = st.multiselect("Data Name", data.select_dtypes(include="number").columns, max_selections=3)
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eps = st.slider("eps", min_value=0.0, max_value=1.0, value=0.5, step=0.01)
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min_samples = st.number_input("min_samples", step=1, min_value=1, value=5)
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submitted = st.form_submit_button("Launch")
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if submitted and 2 <= len(data_name) <= 3:
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fig = perform_dbscan_clustering(data, data_name, eps, min_samples)
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st.pyplot(fig)
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else:
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st.error("File not loaded")
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