Releases: NOAA-OWP/gval
Releases · NOAA-OWP/gval
v0.2.7
This release addresses memory accumulation and promotion of numerical datatypes.
- Pairing functions no longer automatically cast numeric datatypes to 64 bit
- Changed engine of flox xarray_reduce to decrease memory footprint
- Catalog comparisons no longer accumulate memory
- Dask dependencies were upgraded and xarray-spatial was removed
- Changed S3 data source for unit tests
v0.2.5
Includes probabilistic statistical data type evaluations, updates to processing integers in continuous evaluations, STAC Client IO, NOX unit testing, and updates to documentation.
v0.2.3
Includes functionality and patches for the following:
Catalog Comparisons
Subsampling maps for metrics and agreement maps within or excluding regions of interest
Adjusted workflow for performance and memory management
Cleanup and bug fixes
v0.1.2
Includes functionality and patches for the following:
- Attribute tracking
- Public rasterize and vectorize data functions
- Inclusion of new categorical statistics
- Cleanup and bug fixes
v0.1.1
First functional build made for PyPI. Includes:
- Two-class categorical, multicategorical, and continuous comparisons in raster space.
- Functionality to create agreement maps, cross-tabulation tables, and both categorical and continuous statistical metrics.
- Means to convert vector datatypes in to raster space and convert agreement map back to a vector format.
- Custom classes to batch process agreement maps and statistics as well as allowing registration of custom functions for both.
- Utilities for loading datasets from S3, visualization, and defining schemas for DataFrame types.
- Memory optimization, memory and performance benchmarking, unit testing, and code linting.
- Precommit hooks, pipeline builds, and means to push packages to PyPI.
- GitHub.io documentation including Tutorials and an API for public facing code.