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Install PyCall.jl with other python instance
Browse files- gui/app.py +21 -8
gui/app.py
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@@ -1,4 +1,16 @@
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import streamlit as st
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import numpy as np
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import pandas as pd
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@@ -13,17 +25,18 @@ if file_name is not None:
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df = pd.read_csv(file_name)
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y = np.array(df["y"])
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X = df.drop(["y"], axis=1)
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import pysr
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pysr.install()
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from pysr import PySRRegressor
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model = PySRRegressor()
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model.fit(X, y)
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col1.header("Equation")
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col2.header("Loss")
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# model.equations_ is a pd.DataFrame
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for i, row in model.equations_.iterrows():
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col1.subheader(row["equation"])
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col2.subheader(row["loss"])
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import streamlit as st
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import os
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# Need to install PySR in separate python instance:
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os.system(
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"""
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if [ ! -d "$HOME/.julia/environments/pysr-0.9.1" ]; then
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python -c 'import pysr; pysr.install()'
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fi
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"""
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)
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import pysr
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from pysr import PySRRegressor
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import numpy as np
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import pandas as pd
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df = pd.read_csv(file_name)
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y = np.array(df["y"])
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X = df.drop(["y"], axis=1)
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model = PySRRegressor(update=False)
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model.fit(X, y)
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col1.header("Equation")
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col2.header("Loss")
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for i, row in model.equations_.iterrows():
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col1.subheader(str(row["equation"]))
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col2.subheader(str(row["loss"]))
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model = None
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Main = None
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pysr.sr.Main = None
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pysr.sr.already_ran = False
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