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Sleeping
1.0.3
Browse files
app.py
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@@ -6,7 +6,7 @@ import numpy as np
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from sklearn.preprocessing import LabelEncoder
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# Load the trained model
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model = joblib.load(r"
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def predict_mutual_fund(min_sip, min_lumpsum, expense_ratio, fund_size_cr, fund_age_yr,
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fund_manager, sortino, alpha, sd, amc_name, rating,
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from sklearn.preprocessing import LabelEncoder
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# Load the trained model
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model = joblib.load(r"mutual_fund_model.pkl")
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def predict_mutual_fund(min_sip, min_lumpsum, expense_ratio, fund_size_cr, fund_age_yr,
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fund_manager, sortino, alpha, sd, amc_name, rating,
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