The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

handwriterRF 1.1.1

Fixes

• Fixed the vignette, training-slr-model.Rmd, to save files to the temporary directory instead of the Desktop.

handwriterRF 1.1.0

New Features and Enhancements

• Two New Vignettes:

  1. An Introduction to the SLR Model: This vignette provides an overview of the score-based likelihood ratio (SLR) method used by handwriterRF to compare handwriting samples. It explains how the package uses a pre-trained random forest and a set of reference similarity scores to calculate SLRs.
  2. SLR Model Tutorial: This tutorial demonstrates how to train your own random forest model and generate your own set of reference similarity scores for SLR calculations.

• New Function: compare_documents(). The compare_documents() function allows users to compare two handwritten documents, either by a similarity score or using the score-based likelihood ratio (SLR) method. This function consolidates the functionality of calculate_slr() and offers additional flexibility, allowing users to choose whether to return just the similarity score or both the similarity score and the SLR.

• New Function: compare_writer_profiles(). To optimize large-scale experiments, compare_writer_profiles() provides a more efficient alternative to compare_documents(). In experiments involving many comparisons with the same document, compare_documents() can be slow, as it reprocesses the same document multiple times. compare_writer_profiles() solves this by allowing each document to be processed only once, even if it is used in several comparisons.

• New Function: plot_scores(). The plot_scores() function allows users to visualize histograms of same-writer and different-writer similarity scores created with get_ref_scores(), providing an easy way to analyze and compare similarity scores from a dataframe of writer profiles.

• New Dataframes: train, validation, and test. These new dataframes store writer profiles for training, validation, and testing purposes. The package creates random_forest from the train dataframe, and the reference similarity scores, ref_scores, from the validation dataframe.

• Function Update: get_cluster_fill_rates(). The function get_cluster_fill_rates() has been introduced in the handwriter R package to calculate cluster fill rates for one or more handwriting samples. This supersedes the previous version of get_cluster_fill_rates() included in handwriterRF.

handwriterRF 1.0.2

• Removed quotes around “same writer” and “different writer” in documentation.

• Removed dontrun{} from the examples for random_forest. Changed example for get_distances() to something that runs in less than 5 seconds and removed dontrun{} from this example. The examples for calculate_slr() take longer than 5 seconds to run so dontrun{} was changed to donttest{} for these examples.

handwriterRF 1.0.1

handwriterRF 1.0.0

• Initial CRAN submission.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.