**762**
results

**762**
results

- Go to itemCalculates distance values for all pairs of rows of the input table. The result is appended to the input table as a single column…1
- Go to itemThis node takes each row in the query table (Port 0) and searches the reference table (Port 1) for a number of rows matching the …1
- Go to itemThis node detects and treats the outliers for each of the selected columns individually by means of interquartile range (IQR) . T…1
- Go to itemThis node calculates statistical moments such as minimum, maximum, mean, standard deviation, variance, median, overall sum, numbe…1
- Go to itemThis view takes a hierarchical cluster tree and the same input table, that has been used for the creating the clustering and visu…1
- Go to itemComputes the Cronbach Alpha for all numerical columns based on their variance. Cronbach's Alpha compares the variance of the indi…1
- Go to itemThis node induces a classification decision tree in main memory. The target attribute must be nominal. The other attributes used …0
- Go to itemThis node executes a Keras deep learning network on a compatible external back end that can be selected by the user.0
- Go to itemThis node performs supervised learning on a Keras deep learning network.0
- Go to itemThis node reads a Keras deep learning network from an input file. The file can either contain a full, pre-trained network (.h5 fi…0
- Go to itemWrites a Keras network to a file.0
- Go to itemAllows to manipulate the network architecture of a Keras deep learning model by choosing a new set of output tensors of the model…0
- Go to itemExponential linear units were introduced to alleviate the disadvantages of ReLU and LeakyReLU units, namely to push the mean acti…0
- Go to itemA leaky ReLU is a rectified linear unit (ReLU) with a slope in the negative part of its input space. The motivation for leaky ReL…0
- Go to itemLike the leaky ReLU, the parametric ReLU introduces a slope in the negative part of the input space to improve learning dynamics …0
- Go to itemLike the leaky ReLU, the parametric ReLU introduces a slope in the negative part of the input space to improve learning dynamics …0
- Go to itemEnables the aggregation of arbitrary distance measures using a Java snippet. The port number is used to refer to a value of a giv…0
- Go to itemDistance measures on bit vectors (fingerprints).0

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