Matrix completion using nuclear norm minimization
Project description
Simple implementation of Exact Matrix Completion via Convex Optimization by Emmanuel Candes and Benjamin Recht using cvxpy.
Usage
from fancyimpute import MatrixCompletion
completion = MatrixCompletion(
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 = completion.complete(X_incomplete, verbose=True)Release history Release notifications | RSS feed
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