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
Create Class
Randomize
Concatenate
Paint Data
Python Script
Feature Constructor
Edit Domain
Image Viewer
Impute
Merge Data
Outliers
Preprocess
Purge Domain
Rank
Color
Visualize
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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
Model
¶
Naive Bayes
Logistic Regression
Tree
kNN
Load Model
Constant
Random Forest
Save Model
SVM
CN2 Rule Induction
AdaBoost
Stochastic Gradient Descent
Linear 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
Table Of Contents
Orange Visual Programming
Getting Started
Widgets
Data
Visualize
Model
Unsupervised
Evaluation
Related Topics
Documentation overview
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