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Xarray_filters Quarter 3, 2017 Priorities
Let's address the checklist below in approximately the order shown, aiming to get this list done by AGU December.
Docs / cleanup / promotion of Elm and related tools
- Create docs for xarray_filters Create docs for xarray_filters #21
- Consolidate examples Consolidate examples #24
- Create a notebook where parts of the row dimension MultiIndex become features Create a notebook where parts of the row dimension MultiIndex become features #23
Bugs:
- from_features is broken if rows are dropped after to_features from_features is broken if rows are dropped after to_features #27
- Usage of
inspectmodule in elm/earthio/xarray_filters Usage ofinspectmodule in elm/earthio/xarray_filters #12
Related to data structure flexibility long term epic 202:
The following are related to synthetic data set generation (EDIT [Peter] on Oct 31 - Let's make the issues that are specific to xarray_filters.datasets lowest priority out of any of the Elm/Earthio/Xarray_filters Quarter 3, 2017 Priorities issues - could be post-AGU if needed]):
- Default arguments for xarray_filters.datasets.make_* functions Default arguments for xarray_filters.datasets.make_* functions #17
- Add more domain specific transformations to XyTransformer Add more domain specific transformations to XyTransformer #6
- Support remaining sklearn make_* simulation functions Support remaining sklearn make_* simulation functions #5
- Use the new datashader regridding tools when available Use the new datashader regridding tools when available #1
And support for FeatureUnion based on dask will speed up many workflows:
- Parallelism of
FeatureUnionfor xarray_filters Parallelism ofFeatureUnionfor xarray_filters #22 - We can use the notebook creation to experiment with FeatureUnion fromdaskml(formerly theFeatureUnionof dask-searchcv)