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pub.dev · #4455 most downloaded on pub.dev
Popular data preprocessing algorithms for machine learning
Last release 4 years ago
no release in 18 months
Ships unpredictably
gaps range from 2 weeks to 13 months
Nearly every release is documented
notes for 25 of 26 stable releases
Nothing withdrawn
no release was ever pulled
8 years old
27 releases · first in 2019
Fixed link to black_friday dataset
README.md:
black_friday datasetAdded code formatting checking step to CI pipline
README examplesEncoder factoryfeatureNames parameter renamed to columnNames
One column per quarter.
ml_datframe 1.0.0 supportedfeatureNames parameter renamed to columnNamesfeatureIds parameter renamed to columnIndicesencodeAsIntegerLabels renamed to toIntegerLabelsencodeAsOneHotLabels renamed to toOneHotLabelspubspec.yaml: ml_dataframe dependency updated
pubspec.yaml: ml_dataframe dependency updatedNull-safety added (stable release)
Null-safety added (beta release)
ml_dataframe: version 0.4.0 supported
ml_dataframe: version 0.4.0 supportedml_dataframe: version 0.3.0 supported
ml_dataframe: version 0.3.0 supportedCI: github actions set upUnknown values handling type added to the lib interface
Unknown values handling type added to the lib interface (#21)
ml_dataframe 0.2.0 supported
ml_dataframe 0.2.0 supported (#20)
ml_dataframe dependency updated
ml_dataframe dependency updated
dtype parameter added as an argument for Pipeline.process method
Standardizer entity addeddtype parameter added as an argument for Pipeline.process methodDefault values for parameters headerPrefix and headerPostfix added where it applicable
headerPrefix and headerPostfix added where it applicableREADME corrected (ml_dataframe version corrected)
README corrected (ml_dataframe version corrected)- xrange dependency removed - ml_dataframe 0.0.11 supported
xrange dependency removedml_dataframe 0.0.11 supported- xrange package version locked
xrange package version lockedEncoder interface changed: there is no more encode method, use process from Pipeable instead
Encoder interface changed: there is no more encode method, use process from Pipeable insteadNormalizer entity addednormalize operator addedDataFrame class split up into separate smaller entities
DataFrame class split up into separate smaller entitiesDataFrame class core moved to separate repositoryPipeline entity createdPipeable interfaceNothing published for this version
DataFrame: encodedColumnRanges added
DataFrame: encodedColumnRanges added- ml_linalg 10.0.0 supported
ml_linalg 10.0.0 supportedml_linalg 9.0.0 supported: vector constructors calls corrected
ml_linalg 9.0.0 supported: vector constructors calls corrected (#4)
Categorical data processing: encoders parameter added to DataFrame.fromCsv constructor
Categorical data processing: encoders parameter added to DataFrame.fromCsv constructorxrange library supported: it's possible to provide ZRange object now instead of tuple2 to specify a range of indices
xrange library supported: it's possible to provide ZRange object now instead of tuple2 to specify a range of
indices- DataFrame introduced
DataFrame introducedFloat32x4InterceptPreprocessor added
Float32x4InterceptPreprocessor addedreadme updated- Package published
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