v0.13.6: [0.13.6] - 2020-07-19

• Added

  • RasterMath get_image_as_array() now supports mask.

• Fixed

  • Update groups management for sklearn>=0.25
  • Fixed bug with raster/vector datasets (mtb.datasets.load_historical_data())
  • Fixed bug with get_image_as_array() from RasterMath (completely rewrite this part)

v0.13.5

• Fix bug in setup.py using requirements.txt instead of ./requirements.txt

Adding psutil to python requirements

v0.13.3

With psutil dependency

v0.13.1

[0.13.1] - 2020-06-11

Added

• Support list for cross-validation in order to give an unready unfolded cv.

New features provided by @marclang for the charts module :

• Allows to display both F1 and accuracy or mean metrics
• Allows to display accuracy after have been displaying mean (and vice versa)
• Allows to display float matrix

Changed

• Fix path separator to access tutorial dataset

0.13.0

[0.13.0] - 2020-04-21

Changed

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

v0.12.1-rc.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)

v0.12.1-beta.2

[0.12.1-beta.2]- 2020-02-10

• Changed
  Fix bug when in RasterMath when input is only one band #21
  Fix bug in RasterMath with mask and list #22
• Added
  n_jobs for RasterMath (thanks to Helene @HTDBD and Arthur @ArthurDfs, two great students) #18
  function write_block and generally a most intuitive way to use RasterMath (with the help of @HTDBD and @ArthurDfs)

0.12.1-beta.1

[0.12.1-beta.1] - 2020-01-16

Changed

• SequentialFeatureSelection parameters order Changed. scoring is now before standardize.
• Fix bug in get_block() and get_random_block() which returned the same block each time due to new method.
• Update doc for load_historical_data()
• Fix bug with nodata in RasterMath when output is of float type

rc5

[0.12rc5] - 2019-11-11

Changed

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

v0.12

[0.12] - 2019-12-13

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
• Fix 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 functions (cli)