Orange Scripting Reference

• Data description (data)
  • Data table (Table)
  • Domain description (Domain)
  • Data instances (Instance)
  • Values (Value)
  • Loading and saving data
  • Random sampling data (sample)
  • Filtering (filter)
  • Data discretization (discretization)
  • Continuization (continuization)
  • Imputation (imputation)
  • Preprocessing (preprocess)
  • Utilities (utils)
  • SQL interface (sql)
  • Outlier detection (outliers)
• Feature (feature)
  • Descriptor
  • Scoring (scoring)
  • Selection (selection)
  • Feature discretization (discretization)
  • Feature Continuization
  • Imputation (imputation)
• Classification (classification)
  • Naive Bayes classifier (bayes)
  • k-nearest neighbors (knn)
  • Rule induction (rules)
  • Support Vector Machines (svm)
  • Classification trees (tree)
  • Logistic regression (logreg)
  • Majority (majority)
  • Lookup classifiers (lookup)
  • Classifier from variable
  • Constant Classifier
  • Neural Network Learner (neural)
• Regression (regression)
  • Linear regression (linear)
  • Lasso regression (lasso)
  • Partial least sqaures regression (PLS)
  • Regression trees (tree)
  • Mean (mean)
  • Base class for regression
• Statistics (statistics)
  • Basic Statistics for Continuous Features (basic)
  • Contingency table (contingency)
  • Distributions (distribution)
  • Probability Estimation (estimate)
• Ensemble algorithms (ensemble)
  • Bagging
  • Boosting
  • Stacking
  • Random Forest
• Evaluation (evaluation)
  • Sampling and Testing (testing)
  • Method scoring (scoring)
  • Classes for storing the experimental results
• Multi-label classification (multilabel)
  • Binary Relevance Learner
  • LabelPowerset Learner
  • MultikNN Learner
  • ML-kNN Learner
  • BR-kNN Learner
• Association rules and frequent itemsets (associate)
  • Association rules induction algorithms
  • Representation of rules
  • Utilities
• Clustering (clustering)
  • K-means clustering (kmeans)
  • Hierarchical clustering (hierarchical)
  • Consensus clustering (consensus)
• Distance (distance)
  • Computing distances
  • Measures
  • Utilities
• Tuning (tuning)
  • Tuning parameters
  • Setting Optimal Thresholds
• Projections (projection)
  • Linear projection (linear)
  • Multidimensional scaling (mds)
  • Self-organizing maps (som)
  • Correspondence Analysis (correspondence)
• Miscellaneous (misc)
  • CostMatrix
  • SymMatrix
  • Random number generator
• Developer utilities (utils)
  • Reporting progress
  • Deprecation utility functions
  • Submodules

Index and search

• Index
• Module Index
• Search Page