universal-imputer 0.1.3

Automatic ML-based and statistical imputation for tabular data

Universal Imputer

Automatic imputation of missing values using statistical and machine learning methods.

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Features

• Auto-detection of numeric and categorical columns
• Smart strategy selection based on missing value percentage
• Multiple imputation strategies:
  • Mean / Median / Mode
  • KNN Imputation
  • Random Forest / MLP models
• Full support for mixed data types

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Installation

pip install universal-imputer

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Minimal Usage

import pandas as pd
from universal_imputer import universal_imputer

df = pd.read_csv("data.csv")
df_imputed = universal_imputer(df)

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GitHub

GitHub

Author

Daksh Singhal