![]() ease of use due to its graphical user interfaces.a comprehensive collection of data preprocessing and modeling techniques.portability, since it is fully implemented in the Java programming language and thus runs on almost any modern computing platform.freely availability under the GNU General Public License.As described on their wikipedia site, the advantages of Weka include: It contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to this functionality. Weka (Waikato Environment for Knowledge Analysis) can itself be called from the plugin. The Trainable Weka Segmentation is a Fiji plugin that combines a collection of machine learning algorithms with a set of selected image features to produce pixel-based segmentations. Segmentation: it provides a labeled result based on the training of a chosen classifier. Weka: it makes use of all the powerful tools and classifiers from the latest version of Weka. Trainable: this plugin can be trained to learn from the user input and perform later the same task in unknown (test) data. If you’d like to help, check out the how to help guide! Problems with variable length series are listed as length 0.The content of this page has not been vetted since shifting away from MediaWiki. More information on the datasets is given below. To see how accurate different classifiers are on these data see the results page. These files provide a simple list of the data characteristics for univariate and These are fairly unintuitive, so we have provided an overview of this and other basic features of loading data and building classifiers Series in ARFF we take advantage of relational attributes. Lists of the data, including which are unequal length, can be found here.ĭetails on loading sktime data with the Python package are here. ![]() ![]() Sktime formatted ts files (about 1.5 GB). Multivariate Weka formatted ARFF files (and. Univariate sktime formatted ts files (about 300 MB). Univariate Weka formatted ARFF files and. Weka does not allow for unequal length series, so the unequal length problems are all padded with missing values. The univariate and multivariate classification problems are available in three formats: Weka ARFF, simple text files and sktime ts format. ![]()
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