Writes sequences in FASTA format

This node will upload the given local file paths to a network share. Authentication: To use the network functionality of this node you must specify workflow credentials. This node will not automatical…

This node takes a model built with a feature selection loop as input and lets you choose the subset of columns you want to include in the output table. The dialog shows all computed subsets together w…

This node uses the Score Erosion algorithm in order to select subsets of items/row that have a high overall score, and are as diverse as possible It is essentially an iterative process that first sele…

This loop starts a parameter optimization loop. In the dialog you can enter several parameters with an interval and a step size. The loop will vary these parameters following a certain search strategy…

A2DE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than n…

Class for building an ensemble of randomizable base classifiers Each base classifiers is built using a different random number seed (but based one the same data).The final prediction is a straight ave…

Creates a new empty network.

This node creates a global set of terms over all documents. Optionally, it is possible to filter the top-k words in terms of frequencies. There are three different frequencies to choose from for filte…

Converts the terms of the specified term column to molecule strings formatted by a specified format using the OSCAR framework (see https://bitbucket.org/wwmm/oscar4/overview for details). Based on OSC…