Version 0.2

Deprecations and compatibility notes

• To provide the possibility to specify any hyperparameter for sklearn classifiers, the
  parameters will now have to be specified as a json string instead of in individual
  parameters when such a classifier is used. Because of this, the following parameters
  become obsolete + the default values will become the default values in sklearn (#110):
  • randomforest_n_estimators: default 100 instead of 200
  • randomforest_max_depth: default None instead of 35
  • multilayer_perceptron_hidden_layer_sizes: default (100,) instead of (100, 100)
  • multilayer_perceptron_max_iter: default 200 instead of 1000
  • multilayer_perceptron_learning_rate_init
• For keras multilayer perceptron, some changes were applied to the default
  hyperparameters (#115)

Improvements

• Add task/action to automate periodic download of images (#67)
• Add support to calculate indexes locally (#55)
• Improve config and handling of "weekly" and "biweekly" raster image periods (#78)
• Add possibility to configure any possible hyperparameter for the supported sklearn
  based classifiers (#110)
• Add support for HistGradientBoostingClassifier (#95)
• Improve configurability + defaults of keras mlp classifier (#115)
• Make image profiles to be used in a classification configurable in a config file (#56)
• Add option to overrule configuration parameters at runtime (#92)
• If image period is e.g. "weekly", align start_date of a marker to the next monday
  instead of the previous one to avoid using data outside the dates provided (#83, #84)
• Add method "best available pixel" on openeo for S2 (#70)
• Add utility script to recalculate reports for an existing run + make recalculation
  more robust for old runs (#91, #102, #103, #104, #106)
• Improve pixelcount calculation for parcels (#96, #105)
• Improve calculation of beta error in reporting (#97)
• Add "theta errors" to report + general reporting improvements (#114)
• Add whether a parcel has been used for training to output (#107)
• Run bulk_zonal_stats in low priority worker processes (#81)
• Use ruff instead of black and flake for formatting and linting (#57, #64, #65, #67)
• Updates to avoid warnings from (newer versions of) dependencies like pandas,
  geofileops (#88, #109)

Bugs fixed

• Various fixes and improvements to bulk_zonal_statistics with engine="pyqgis"
  (#76, #80)
• Fix some group names being wrong/unclear in the classification reporting (#90)