Error while using PowerTransformer #28650
Replies: 4 comments
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It looks like the variance computed lead to an overflow in SciPy. So I assume that then you have some NaN or inf in a later stage that makes the power transformation fail. So you might want to check what is wrong with your data that lead to this overflow (might also be a constant value?). |
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You can upgrade SciPy >=1.12.0, the overflow issue in Box-Cox has been fixed. |
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This can happen when your dataset contains Nan values. Therefore, any Power transformation computation fails |
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Based on the error message and the discussion above, here are the main causes and solutions for the PowerTransformer error: CausesThe error "The algorithm terminated without finding a valid bracket" typically occurs due to:
Solutions1. Upgrade SciPyUpgrade SciPy to version 1.12.0 or later, which includes fixes for overflow issues in Box-Cox transformation: pip install --upgrade scipy2. Check for NaN valuesInspect your data for missing values: import pandas as pd
import numpy as np
# Check for NaN values
print(df.isnull().sum())
print(df.describe())
# Drop or impute NaN values before using PowerTransformer
df = df.dropna() # or use an imputation strategy3. Data preprocessing
4. Column-specific testingIf only certain columns fail, analyze those columns specifically: from sklearn.preprocessing import PowerTransformer
# Test individual columns
pt = PowerTransformer()
for col in df.columns:
try:
pt.fit(df[[col]])
print(f"{col}: OK")
except Exception as e:
print(f"{col}: ERROR - {e}")These solutions should help resolve the PowerTransformer error in most cases. |
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error : The algorithm terminated without finding a valid bracket. Consider trying different initial points.
I tried PowerTransformer on other columns it worked but not on this? please help,is it happening because this is descrete data?
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