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msmbuilder: MSMBuilder 3.5

Authors: McGibbon, Robert T.; Harrigan, Matthew; Bharath Ramsundar; Beauchamp, Kyle; Msultan; Hernández, Carlos; Schwantes, Christian; +6 Authors

msmbuilder: MSMBuilder 3.5

Abstract

We're pleased to announce the release of MSMBuilder 3.5. This release wraps more relevant sklearn estimators and transformers. There are also some bugfixes and API hygiene improvements. We recommend all users upgrade to MSMBuilder 3.5. API Changes msmbuilder.featurizer.FeatureUnion is now deprecated. Please use msmbuilder.feature_selection.FeatureSelector instead (#799). msmbuilder.feature_extraction has been added to conform to the scikit-learn API. This is essentially an alias of msmbuilder.featurizer (#799). New Features KernelTICA, Nystroem, and LandmarkNystroem are available in the decomposition module (#807). FeatureSelector and VarianceThreshold are available in the feature_selection module (#799) SparsePCA and MiniBatchSparsePCA are available in the decomposition module (#791). Binarizer, FunctionTransformer, Imputer, KernelCenterer, LabelBinarizer, MultiLabelBinarizer, MinMaxScaler, MaxAbsScaler, Normalizer, RobustScaler, StandardScaler, and PolynomialFeatures are available in the preprocessing module (#796). Improvements Fix a compilation error on gcc 5 (#783) Fix pickle-ing of ContinuousTimeMSM. The optimizer_state_ parameter is not saved (#822).

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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