Workflows

Semantic clustering with k-Medoids and ALC... (1)

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 This workflow loads data from a configuration file for DL-Learner (http://dl-learner.org) and uses ALCN Semantic Kernel [1] to cluster those data with k-Medoids algorithm. [1] N. Fanizzi, C. d’Amato, F. Esposito. Learning with Kernels in Description Logics. ILP 2008  

Created: 2012-05-30 | Last updated: 2012-06-07

Evaluating Multiple Models with Looped X-V... (1)

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This process shows how multiple different models can be evaluated with cross validation runs. This allows for the comparison of, for example, three prediction model types (e.g., ANN, SVM and DT) all at once under a x-fold cross validation. Having said that, the process actually performs the same cross validation several times using each time a different modeling scheme. It makes use of loops, collections, subprocess selection and macros and is therefore also an interesting showcase for more ...

Created: 2010-05-15

Pivoting with Consideration of Example Wei... (1)

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This process shows how the Pivoting operator can also consider example weights encoded by a special attribute with the role 'weight'. The first operators only create a demo data set for this purpose, the actual pivoting is performed by the last operator only. I recommend to place a breakpoint before the Pivoting and check the data (structure) in order to see how the Pivoting handles the weights.

Created: 2010-07-07

Find and replace missing values with other... (1)

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Sometimes, it is helpful to replace a numerical attribute containing a missing value with a value from another attribute in the example row rather than using a constant such as an average or maximum value. This process generates some missing values, detects them and replaces with a calculation based on the value of another attribute. (Purists will be alarmed at the mathematical impossibility of taking the square root of a negative number). The process detects missing values by subtracti...

Created: 2010-08-25 | Last updated: 2010-08-25

Cross tabulation via aggregation and pivoting (1)

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Creates a contingency table using the Aggregate and Pivot operators.

Created: 2010-08-25 | Last updated: 2010-08-25

Constructing user defined linear regressio... (1)

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This process shows how one can construct a user defined Linear Regression model using the execute script operator

Created: 2010-09-02 | Last updated: 2010-09-02

111 (1)

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This process shows how several different classifiers could be graphically compared by means of multiple ROC curves.

Created: 2010-09-04 | Last updated: 2010-09-04

222 (1)

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This process shows how several different classifiers could be graphically compared by means of multiple ROC curves.

Created: 2010-09-04

11111 (1)

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Reads collections of text from a set of directories, assigning each directory to a class (as specified by parameter text_directories), and transforms them into a TF-IDF or other word vector. Finally, an SVM is applied to model the input texts.

Created: 2010-09-04

Defining positive class with Remap Binominal (1)

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This process shows how one can use the Remap Binominal operator to define which label value is treated as the positive class.

Created: 2010-05-11