Sympathy¶
- Analysis
 - Data
 - Datasources
 - Debug
 - Examples
 - Export
 - Files
 - Filters
 - Imageprocessing
- Generate Image
 - Edge detection
 - Corner detection
 - Transform image
 - Threshold image
 - Split Image Channels
 - Merge Image Channels
 - Convert Table to Image
 - Convert Image to Table
 - Convert 2D Table to Image
 - Convert Image to 2D Table
 - Save Image
 - Draw on Image
 - Morphological Image Operations
 - Morphology (single input)
 - Extract Image Data
 - Load Image
 - Example Image
 - Image Statistics
 - Filter image
 - Color space conversion
 - Color range conversion
 - List to Image
 - Image to List
 - Overlay Images
 - Filter Image, Dual Output
 - Filter Image (deprecated)
 
 - Lambda
 - List
- Filter List Predicate
 - Filter List with Table
 - Partition List Predicate
 - Conditional Propagate
 - Chunk List
 - Insert List
 - Pad List with Item
 - Pad List
 - Propagate Input
 - Item to List
 - Bisect List
 - Flatten List
 - Sort List
 - Propagate First Input
 - Repeat Item to List
 - Propagate First Input (Same Type)
 - Append List
 - Get Item List
 - Extend List
 
 - Machinelearning
- Multi-Layer Perceptron Classifier
 - Decision Tree Classifier
 - Random Forest Classifier
 - Pipeline decomposition
 - Pipeline
 - Multi-output classifier
 - Multi-output regressor
 - Voting Classifier
 - Text Count Vectorizer
 - Confusion Matrix
 - Learning Curve
 - ROC from Probabilities
 - R² regression score (R2)
 - Conditional Probabilty from Categories
 - Set Parameters
 - Parameter Distribution
 - Set Input and Output Names
 - Extract Parameters
 - Isolation Forest
 - Score Cross Validation
 - Group K-fold Cross Validation
 - Simple Train-Test Split
 - K-fold Cross Validation
 - Time Series K-fold Based Cross Validation
 - Stratified K-fold cross validation
 - Leave One Group out Cross Validation
 - Split Data for Cross Validation
 - Features to Images
 - Images to Features
 - Example datasets
 - Generate classification dataset
 - Export Model
 - Generate dataset blobs from table
 - Import Model
 - Generate dataset blobs
 - Simulated Annealing Parameter Search
 - Randomized Parameter Search
 - Grid Parameter Search
 - Partial Least Squares cross-decomposition (PLS regression)
 - Kernel Principal Component Analysis (KPCA)
 - Principal Component Analysis (PCA)
 - Extract Attributes
 - Standard Scaler
 - Label Encoder
 - Polynomial Features
 - Robust Scaler
 - Categorical Encoder
 - Normalizer
 - One-Hot Encoder
 - Label Binarizer
 - Binarizer
 - Imputer
 - Max Abs Scaler
 - Support Vector Classifier
 - One Class SVM
 - Mini-batch K-means Clustering
 - K-means Clustering
 - Epsilon Support Vector Regression
 - Logistic Regression
 - Linear Regression
 - Kernel Ridge Regression
 - Transform Text
 - Score
 - Fit Texts
 - Fit
 - Predict Probabilities
 - Predict
 - Select Features from Model
 - Inverse Transform
 - Transform
 - Fit Transform Text
 - Decision Function
 - Fit Transform
 
 - Random
 - Reporting
 - Selectors
 - Slice
 - Tuple
 - Visualize