New update introducing SVM #11
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- introduces `matches` and `best_matches` as tibble columns - modifications regarding the replacement of S4 objects from dtwSat to tibble format in SITS tibble, such as: -- `sits_plot()` function, particularly types "classification" and "matches" -- `sits_TWDTW_classify()` function -- `sits_TWDTW_matches()` function - Change signature of `sits_accuracy()` function to be able to work with predictors and references vectors as input parameters - Introduces the firsts two functions of a serie of Machine Learning functions that are coming soon
Stable version
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First algorithm for machine learning in SITS (support vector machines) |
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matchesandbest_matchesas tibble columns--
sits_plot()function, particularly types "classification" and "matches"--
sits_TWDTW_classify()function--
sits_TWDTW_matches()functionsits_accuracy()function to be able to work with predictors and references vectors as input parameters