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Created with Raphaël 2.2.018Feb1716121095432129Jan2827262522201915141312118723Dec2117161514119427Nov26259Oct52128Sep2523211817161514111098432131Aug28272625242120191817141312111030Jul29282724232221201716151410987632Added xarray and netcdf4 dependencies.Removed torch as dependency.Save scenes as pdf.Adapted image size for Alcd to 20m resolution.Changed default colormap.Changed default colormap.Changed default colormap.Changed default image format to pdf.Fixed a bug: continue iteration when model evaluation exists.Fixed a bug: Add classification report after computing confusion matrix.Avoid namespace confusion.Avoid namespace confusion.Avoid namespace confusion.Read the labels from the classification reports.Fixed a bug: concatenate the actual dataframes...Initialize DataFrame with numeric type.Changed default behaviour of dataset path.Keep hdf metadata when converting to GeoTiff.Changed default format from png to pdf.Implemented efficient conversion of classification report to pandas DataFrame.Improved visualizations of confusion matrix and classification report.Added errors of commission and omission.Implemented evaluation of classification report.Added seaborn as requirement.Final model configuration.Improved documentation of classification report.Predictions are now correctly aggregated to numpy array.Debugged classification report logging.Debugged classification report logging.Debugged classification report logging.Debugged classification report logging.Debugged classification report logging.Added a function to parse sklearn classification report to Latex.Implemented sklearn classification report.Added a function to parse sklearn classification report to Latex.Added pandas dependency.Ignore classification reports.Improved logging for inference.Improved logging for inference.Improved logging for inference.
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