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Browse files- gui/app.py +7 -5
- gui/gen_example_data.py +1 -1
gui/app.py
CHANGED
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@@ -83,21 +83,23 @@ def greet(
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# Convert all columns to string type:
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df = df.astype(str)
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msg = (
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model = PySRRegressor(
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niterations={niterations},
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binary_operators={str(binary_operators)},
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unary_operators={str(unary_operators)},
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maxsize={maxsize},
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)
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model.fit(X, y)"""
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df.to_csv("pysr_output.csv", index=False)
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return df, msg
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def main():
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demo = gr.Interface(
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fn=greet,
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# Convert all columns to string type:
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df = df.astype(str)
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msg = (
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"Success!\n"
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f"You may run the model locally (faster) with "
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f"the following parameters:"
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+ f"""
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model = PySRRegressor(
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niterations={niterations},
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binary_operators={str(binary_operators)},
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unary_operators={str(unary_operators)},
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maxsize={maxsize},
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)
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model.fit(X, y)"""
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)
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df.to_csv("pysr_output.csv", index=False)
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return df, msg
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+
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def main():
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demo = gr.Interface(
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fn=greet,
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gui/gen_example_data.py
CHANGED
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@@ -14,4 +14,4 @@ X = pd.DataFrame(
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R = 8.3144598 # J/mol/K
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X["y"] = X["n"] * R * X["T"] / X["P"]
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X.to_csv("data.csv", index=False)
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R = 8.3144598 # J/mol/K
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X["y"] = X["n"] * R * X["T"] / X["P"]
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X.to_csv("data.csv", index=False)
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