Orange Visual Programming

Getting Started

Here we need to copy the getting started guide.

• Loading your Data

Widgets

Data

• File
• SQL Table
• Save Data
• Data Info
• Data Table
• Select Columns
• Select Rows
• Data Sampler
• Transpose
• Discretize
• Continuize
• Randomize
• Concatenate
• Paint Data
• Python Script
• Feature Constructor
• Edit Domain
• Image Viewer
• Impute
• Merge Data
• Outliers
• Preprocess
• Purge Domain
• Rank
• Color

Visualize

• Box Plot
• Distributions
• Heat Map
• Scatter Plot
• Venn Diagram
• Linear Projection
• Scatter Map
• Sieve Diagram
• Pythagorean Tree
• Pythagorean Forest
• CN2 Rule Viewer
• Mosaic Display
• Silhouette Plot
• Tree Viewer
• Geo Map
• Nomogram

Classify

• Naive Bayes
• Logistic Regression
• Classification Tree
• Nearest Neighbors
• Load Classifier
• Majority
• Random Forest Classification
• Save Classifier
• SVM
• CN2 Rule Induction
• AdaBoost

Regression

• Linear Regression
• Mean Learner
• Nearest Neighbors
• Stochastic Gradient Descent
• SVM Regression
• Regression Tree
• Regression Tree Viewer
• Random Forest Regression

Unsupervised

• PCA
• Correspondence Analysis
• Distance Map
• Distances
• Distance Matrix
• Distance Transformation
• Distance File
• Save Distance Matrix
• Hierarchical Clustering
• k-Means
• MDS
• Manifold Learning

Evaluation

• Calibration Plot
• Confusion Matrix
• Lift Curve
• Predictions
• ROC Analysis
• Test & Score