There are 4264 nodes that can be used as predessesor
for a node with an input port of type Table.
The node returns values from CDF that correspond to provided percentile values.
Splits table into two partitions, with the first adjusted for calibration.
Produces predictions based on the calibration table and the significance level provided by the user.
This nodes combines the functions of Conformal Calibrator (Regression) and Conformal Predictor and Classifier (Regression) nodes.
Compares predictions made by Conformal Classifier with actual values.
Compares predictions made by Conformal Regressor with actual values.
The node returns values from CDF that correspond to provided percentile values.
Splits BitVector values to individual bits.
Computes the bit vector similarity of one or multiple query fingerprints to a set of data fingerprints. If multiple queries should be used the respective […]
Computes set of popular performance estimations for a virtual screening. The input is expect to be sorted according to the ranking criteria (performance […]