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#Res in rapidminer studio series#

This unique approach is the only guarantee that no overfitting is introduced and no overestimation of prediction performances can occur 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.

#Res in rapidminer studio series#

Access to time series data, audio files, images, and many more.Connect to Zapier and trigger Zapier tasks.Repository-based data management on local systems or central servers via RapidMiner Server.Access to full-text index & search platform SOLR.Support for all JDBC database connections including Oracle, IBM DB2, Microsoft SQL Server, MySQL, Postgres, Teradata, Ingres, VectorWise, and more.Access to text documents and web pages, PDF, HTML, and XML.Access to Cloud storage like Dropbox and Amazon S3.Access to NoSQL databases MongoDB and Cassandra.Wizards for Microsoft Excel & Access, CSV, and database connections.Access to more than 40 file types including SAS, ARFF, Stata, and via URL.Also transform unstructured data into structured. Access, load and analyze any type of data – both traditional structured data and unstructured data like text, images, and media.