RapidMiner Studio follows a stringent modular approach which prevents information used in pre-processing steps leaking from model training into the application of the model.Dimensionality reduction with Self- Organizing Maps (SOM).Choose the number of components to be retained.Calculates Eigenvalues and Eigenvectors from correlation and covariance matrices.Plots for principal components coefficients, Eigenvalues, and cumulative variance of Eigenvalues.– Removal of attributes unrelated to target based on arbitrary weighting schemes like information gain, Gini index, and others – Removal of attributes unrelated to target based on a chi-square or correlation-based selection criterion – Selection of attributes by user specification – 30+ weighting schemes measuring the influence of attributes & forming base or weight-based selections (filter approach) Miscellaneous functions: if then-else, square root, signum, random, modulus, sum, binomial, missing binomial, missing.Date functions: parse, parse with locale, arse custom, before, after, to string, to string with locale, to string with custom pattern, create current, difference, add, set, and get.Text functions: to string, to number, cut, concatenation, replace and replace all, lower, upper, index, length, character at, compare, contains, equals, starts with, ends with, matches, suffix, prefix, trim, escape HTML.Trigonometric functions: sine, cosine, tangent, arc sine, arc cosine, arc tangent, hyperbolic sine, hyperbolic cosine, hyperbolic tangent, inverse hyperbolic sine, inverse hyperbolic cosine, inverse hyperbolic tangent.Log and exponential functions: natural logarithm, logarithm base 10, logarithm dualis, exponential, power.Basic functions: addition, subtraction, multiplication, division, less than, greater than, less or equal, greater or equal, equal, not equal, Boolean not, Boolean and, Boolean or.Expression builder for arbitrary transformations on attributes: Statistical functions: round, floor, ceiling, average, minimum, maximum.Rotations of data sets: Pivoting, De-Pivoting, and transposing data sets.Operator for guessing correct meta data from existing data sets.All kinds of type conversions between numerical attributes, nominal / categorical attributes, and date attributes.De-normalization making use of preprocessing models.Preprocessing models for applying the same transformations on test / scoring data.Z-transformation, range transformation, proportion transformation, or interquartile ranges.Enhanced data and metadata editor for repository entries.Access to time series data, audio files, images, and many more.Connect to Zapier and trigger Zapier tasks.
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