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tods/d3m/docs/primitives_base_classes.rst

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  1. High-level primitives base classes

  2. ==================================

  3. 

  4. High-level primitives base classes provides tools to the developers

  5. to easily create new primitives by abstracting some unnecessary and

  6. repetitive work.

  7. 

  8. Primitives base classes

  9. -----------------------

  10. 

  11. ``FileReaderPrimitiveBase``:  A primitive base class for reading files referenced in columns.

  12. 

  13. ``DatasetSplitPrimitiveBase``: A base class for primitives which fit on a

  14. ``Dataset`` object to produce splits of that ``Dataset`` when producing.

  15. 

  16. ``TabularSplitPrimitiveBase``: A primitive base class for splitting tabular datasets.

  17. 

  18. 

  19. Examples

  20. --------

  21. 

  22. Examples of primitives using these base classes can be found `in

  23. this

  24. repository <https://gitlab.com/datadrivendiscovery/common-primitives/-/tree/master/common_primitives>`__:

  25. 

  26. -  `DataFrameImageReaderPrimitive <https://gitlab.com/datadrivendiscovery/common-primitives/-/blob/master/common_primitives/dataframe_image_reader.py>`__

  27.     A primitive which reads columns referencing image files.

  28. -  `FixedSplitDatasetSplitPrimitive <https://gitlab.com/datadrivendiscovery/common-primitives/-/blob/master/common_primitives/fixed_split.py>`__

  29.    A primitive which splits a tabular Dataset in a way that uses for the test

  30.    (score) split a fixed list of primary index values or row indices of the main

  31.    resource to be used. All other rows are added used for the train split.

  32. -  `KFoldDatasetSplitPrimitive <https://gitlab.com/datadrivendiscovery/common-primitives/-/blob/master/common_primitives/kfold_split.py>`__

  33.    A primitive which splits a tabular Dataset for k-fold cross-validation.

  34. -  `KFoldTimeSeriesSplitPrimitive <https://gitlab.com/datadrivendiscovery/common-primitives/-/blob/master/common_primitives/kfold_split_timeseries.py>`__

  35.    A primitive which splits a tabular time-series Dataset for k-fold cross-validation.

  36. -  `NoSplitDatasetSplitPrimitive <https://gitlab.com/datadrivendiscovery/common-primitives/-/blob/master/common_primitives/no_split.py>`__

  37.    A primitive which splits a tabular Dataset in a way that for all splits it

  38.    produces the same (full) Dataset.

  39. -  `TrainScoreDatasetSplitPrimitive <https://gitlab.com/datadrivendiscovery/common-primitives/-/blob/master/common_primitives/train_score_split.py>`__

  40.    A primitive which splits a tabular Dataset into random train and score subsets.