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Matrix completion and feature imputation algorithms

Project description

A variety of matrix completion and imputation algorithms implemented in Python.

Usage

from fancyimpute import NuclearNormMinimization

solver = NuclearNormMinimization(
    min_value=0.0,
    max_value=1.0,
    error_tolerance=0.0005)

# X_incomplete has missing data which is represented with NaN values
X_filled = solver.complete(X_incomplete)

Algorithms

Project details


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Source Distribution

fancyimpute-0.0.4.tar.gz (19.5 kB view hashes)

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