Museotoolbox

Latest version: v0.13.6

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0.13.0

Changed

- Final version for JOSS (paper.md and paper.bib updated thanks to kbarnhart)

0.12.1rc.1

Added

- RasterMath use available memory to speed up process and manage now several cores (n_jobs)
- train_test_split in cross_validation module

Changed

- Enhance mask management for RasterMath
- Move FlushCache to optimize RasterMath
- RasterMath get_random_block returns only block which are not totally unmasked
- charts.PlotConfusionMatrix has a default argument (zero_is_min=True)

0.12.1beta.2

Fixed

- Fix bug when in RasterMath when input is only one band
- Fix bug in RasterMath with mask and list

Added

- n_jobs for RasterMath (thanks to Helene HTDBD and Arthur ArthurDfs, two great students)
- function write_block and generally a most intuitive way to use RasterMath (with the help of HTDBD and ArthurDfs)

0.12.1beta.1

Added
- new branch spatial added

Added

- Added this line

Changed

- SequentialFeatureSelection parameters order Changed. *scoring* is now before *standardize*.
- Update doc for load_historical_data()

Fixed

- Fix bug in get_block() and get_random_block() which returned the same block each time due to new method.
- Fix bug with nodata in RasterMath when output is of float type

0.12

Changed

- RasterMath made a lot of improvements using block reading and writing. For example, the default block size is now 256x256 (you can keep the default block size by choosing block_size=False), and Museo ToolBox automatic detect if the geotiff will be tiled or not (it depends on the block size).
- Some folders have Changed name :
- raster_tools and vector_tools to processing
- learn_tools to ai
- some functions have Changed name :
- getSamplesFromROI to extract_values
- historicalMap to load_historical_data
- getDistanceMatrix to get_distance_matrix
- classes now always begin with a capital case :
- learnAndPredict to SuperLearner
- rasterMath to RasterMath
- sequentialFeatureSelection to SequentialFeatureSelection

Fixed

- bug 7 : getSamplesFromROI (nowd extract_ROI) now extracts ROI values using by default memory. If it fails, it will create a temporary raster on disk then delete it when finished.

Removed

- Remove command lines (cli)

0.12rc5

Changed

- getSamplesFromROI return list of available fields if wrong field given.
- rasterMath convert np.nan value to nodata value (if numpy >= 1.17)

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