Sympathy¶
- Analysis
- Data
- Adaf
- ADAF to ADAFs
- Detrend ADAFs
- Detrend ADAF
- TimeSync ADAFs
- TimeSync ADAF
- Interpolate ADAFs with Table
- Interpolate ADAFs
- Interpolate ADAF
- VSplit ADAF
- HJoin ADAF
- HJoin ADAFs
- HJoin ADAFs pairwise
- ADAFs
- ADAF
- F(x) ADAF
- F(x) ADAFs
- F(x) ADAFs With Extras Input
- F(x) ADAFs With Extra Input
- F(x) ADAFs to Tables
- Elementwise ADAFs to Tables
- ADAFs to Tables
- ADAF to Tables
- ADAF to Table
- ADAFs structure to Tables
- ADAF structure to Table
- VJoin ADAF
- VJoin ADAFs
- VJoin ADAFs pairwise
- Select columns in ADAFs with structure Tables
- Select columns in ADAFs with structure Table
- Select columns in ADAF with structure Table
- Sort ADAFs (deprecated)
- Interpolate ADAFs (deprecated)
- Interpolate ADAF (deprecated)
- Filter ADAFs
- Filter ADAFs (deprecated)
- Generic
- Table
- HSplit Tables
- HSplit Table
- Pivot Table
- Pivot Tables
- Transpose Tables
- Transpose Table (deprecated)
- Transpose Table
- Transpose Tables (deprecated)
- Select rows in Table
- Select rows in Tables with Table
- Select rows in Tables
- Select rows in ADAFs
- Select rows in Table with Table
- Tables to Datasources
- Table to Datasources
- Rename columns in Tables
- Rename columns in Table
- Rename columns in Tables with Table
- Merge Tables
- Merge Table
- Unique Tables
- Unique Table
- Cartesian Product Tables
- Cartesian Product Table
- Match Table lengths
- Match Tables lengths
- Periodic Sequence Split Table
- Datasources to Table
- Datasource to Table
- HJoin Tables pairwise
- HJoin Table
- HJoin Tables
- Matlab Tables
- Matlab Table
- Sort columns in Table
- Replace values in Table
- Replace values in Table with Table
- Replace values in Tables
- Replace values in Tables with Table
- Table Search and Replace
- Calculator
- Calculator Tables
- Calculator Table
- Calculator List
- Matlab Calculator
- Hold value Tables
- Hold value Table
- F(x) Tables With Extra Input
- F(x) Table With Extra Input
- F(x) Table
- F(x) Tables With Extras Input
- F(x) Tables
- Drop NaN Table
- Drop NaN Tables
- Ensure columns in Tables with Table
- Restore List from truth Table with Default Table (deprecated)
- Restore Truth Table (deprecated)
- Restore List from truth Table (deprecated)
- Create ADAFs Index From Indices (deprecated)
- Create Table Index From Indices (deprecated)
- Create Tables Index From Indices (deprecated)
- Table
- Tables
- RAW Tables
- VSplit Table
- VSplit Tables
- Select columns in Table with Regex
- Select columns in Table
- Select column by type in Table
- Select columns in Tables with Table
- Select column by type in Tables
- Select columns in Tables
- Select columns in Table with Table
- Lookup Tables
- Lookup Table
- Convert specific columns in Table
- Convert columns in Tables
- Convert specific columns in Tables
- Convert columns in Table
- VJoin Tables
- VJoin Table
- VJoin Tables pairwise
- Conditional error/warning
- Table to Tables
- Update ADAFs with Tables
- Tables to ADAFs
- Table to ADAF
- Update ADAF with Table
- Set Tables attributes
- Get Table attributes
- Get column attributes in Table
- Set column attributes in Tables
- Get Tables attributes
- Set column attributes in Table
- Get column attributes in Tables
- Set Table attributes
- Assert Equal Table
- Set Tables Name
- Set Tables Name with Table
- Get Table Name
- Get Tables Name
- Set Table Name
- Sort rows in Table
- Sort rows in Tables
- Text
- Adaf
- 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)
- List
- Filter Tables Predicate
- Filter List Predicate
- Filter ADAFs with Table input
- Filter Tables with Table input
- Partition ADAFs Predicate
- Filter List with Table input
- Filter ADAFs Predicate
- Partition Tables Predicate
- Partition List Predicate
- Conditional Propagate
- Append Table
- Chunk List
- Insert List
- Pad List with Item
- Pad ADAF using Tables
- Pad List
- Propagate Input
- Extend Table
- Extend ADAF
- Item to List
- Get Item ADAF
- Pad Table Using ADAFs
- Append ADAF
- Bisect List
- Pad Table
- Flatten List
- Sort List
- Match ADAFs list lengths (deprecated)
- Pad ADAF
- Append List Old
- Propagate First Input
- Get Item Table
- Extend Text
- Append Text
- Repeat Item to List
- Get Item Text
- Propagate First Input (Same Type)
- Append List
- Get Item List
- Match Tables list lengths (deprecated)
- Extend List
- Tables to [Table]
- Texts to [Text]
- Reports to [Report]
- [Table] to Tables
- [Datasource] to Datasources
- Datasources to [Datasource]
- [ADAF] to ADAFs
- [Text] to Texts
- ADAFs to [ADAF]
- [Report] to Reports
- 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
- 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
- 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