Releases · theroggy/cropclassification

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)

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)

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)

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