OverviewΒΆ

Click on a nut name for more details.

Network wrapping

Data reading

  • DplyToList : convert DplyDataframe to list.

  • ReadNumpy : load numpy array from file system.

  • ReadImage : load image as numpy array from file system.

  • ReadLabelDirs : read file paths from label directories.

  • ReadPandas : read data as Pandas table from file system.

Data writing

Data viewing

Sample processing

  • ConvertLabel : convert between string labels and integer class ids.

  • CheckNaN : raise exception if data contains NaNs.

  • PartitionByCol : partition samples depending on column value.

  • SplitRandom : randomly split iterable into partitions, e.g. training, validation, test.

  • SplitLeaveOneOut : split iterable into leave-one-out train and test sets.

  • Stratify : stratifies samples by down-sampling or up-sampling.

Transforming & Augmenting

Boosting

  • Boost : boost samples with high confidence for incorrect class.

Batching

  • BuildBatch : build batches for GPU-based training.

Plotting

  • PlotLines : plot lines for selected data columns, e.g. accuracy, loss.

Logging