dev-python/missImputeTS
The function 'missImputeTS' in this package is used to impute timeseries missing values particularly in the case of mixed-type data.It uses a random forest trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complex interactions and non-linear relations. It can be run in parallel to save computation time. [wheel]
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missImputeTS-0.0.0.21
dev-python/rpy2[python_targets_python3_11
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dev-python/pandas[python_targets_python3_11
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dev-python/numpy[python_targets_python3_11
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dev-python/scipy[python_targets_python3_11
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dev-python/sklearn[python_targets_python3_11
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virtual/allow-pypi-wheels
python_targets_python3_11?
( dev-lang/python:3.11 )
python_targets_python3_12?
( dev-lang/python:3.12 )
python_targets_python3_13?
( dev-lang/python:3.13 )
python_targets_python3_14?
( dev-lang/python:3.14 )