Release v1.5.1

Major Features and Improvements

Major Features

• Modify the display of DAG diagram

Release v1.5.0-LTS

Major Features and Improvements

Major Features

• Add model visualization of new algorithm components：Hetero/Homo Data Split, Table reader, Data Statistic, PSI，Hetero Fastsecureboost，Hetero Kmeans
  • Hetero/Homo Data Split：Visualize dataset split results (training/validate/test)
  • Table reader：read in the original modeling data and output data overview
  • Data Statistic：display statistical indicators of each variable
  • PSI：PSI detailed data display for each variable
  • Hetero Fastsecureboost：fast secureboost model visualization in layered-mode and mixed-mode
  • Hetero Kmeans：visualization of sample clustering results
• Feature selection：supports connection with the output models of Data Statistic, PSI, SecureBoost, and other components for feature selection
• Feature binning：Support binning visualization without calculating the iv value, and increase the display of the number of bins
• Evaluation：Supports visualization of cluster model evaluation results
• Hetero secureboost：Supports visualization of Completely SecureBoost models
• Evaluation：Supports visualization of cluster model evaluation results
• Support downloading model and data of algorithm components from FATEBoard（Feature Binning，Feature Selection，Secureboost，LR，Evaluation）
• The page supports partial data refresh and global data refresh to update the data in the iteration
• Support retry for failed or canceled job
• Data input port of the component supports separate access according to train/validate
• Make the status of job compatible for success and complete

Features improvement

• Job list optimization：search, filter, and sort optimization
• Significantly improve page fluency when the amount of data is large
• Optimize the log pull method and improve efficiency
• Enhance safety check
• Interface optimization
• Data decoupling：separate the relationship between presentation, interaction, and data of the page
• Interaction logic decoupling：Disassembly and refinement of complex functional logic
• Improve the cohesion and reusability of components and tools

Release v1.5.0（LTS）-preview

Major Features and Improvements

Major Features

• Add model visualization of new algorithm components：Hetero/Homo Data Split, Table reader, Data Statistic, PSI，Hetero Fastsecureboost，Hetero Kmeans
  • Hetero/Homo Data Split：Visualize dataset split results (training/validate/test)
  • Table reader：read in the original modeling data and output data overview
  • Data Statistic：display statistical indicators of each variable
  • PSI：PSI detailed data display for each variable
  • Hetero Fastsecureboost：fast secureboost model visualization in layered-mode and mixed-mode
  • Hetero Kmeans：visualization of sample clustering results
• Feature selection：supports connection with the output models of Data Statistic, PSI, SecureBoost, and other components for feature selection
• Feature binning：Support binning visualization without calculating the iv value, and increase the display of the number of bins
• Evaluation：Supports visualization of cluster model evaluation results
• Hetero secureboost：Supports visualization of Completely SecureBoost models
• Evaluation：Supports visualization of cluster model evaluation results
• Support downloading model and data of algorithm components from FATEBoard（Feature Binning，Feature Selection，Secureboost，LR，Evaluation）
• The page supports partial data refresh and global data refresh to update the data in the iteration
• Support retry for failed or canceled job
• Data input port of the component supports separate access according to train/validate

Features improvement

• Job list optimization：search, filter, and sort optimization
• Significantly improve page fluency when the amount of data is large
• Optimize the log pull method and improve efficiency
• Enhance safety check
• Interface optimization
• Data decoupling：separate the relationship between presentation, interaction, and data of the page
• Interaction logic decoupling：Disassembly and refinement of complex functional logic
• Improve the cohesion and reusability of components and tools

Release v1.4.2

Major Features and Improvements

• supports unilateraly Pearson
• supports Selection sorting
• Add field search function for job-list
• Add fateflow dispatch log in dashboard
• Optimize some forms of interaction
• fix security problem

Release v1.4.1

Major Features and Improvements

• support PSI display in evaluation component
• Support confusion matrix display
• update logs interface
• Firefox basic compatibility

Release 1.4.0

Major Features and Improvements

• Add security check for file path of logs
• Pearson correlation：support drawing a matrix graph by selecting different roles or features, or by interval filtering of correlation values. support sorting by the size of the correlation value.
• Homo secureboost: new visualization of model ouput，including trees，feature importance、cross validation，etc.
• GLM-stepwise：new visualization of stepwise from hetero LR，hetero LinLR and hetero poisson, including Model Fitting Statistics, Analysis of Effects, Analysis of Maximum Likelihood Estimates, and Analysis of Effect Eligible for Entry for each step, as well as for the summary.
• Hetero LR, localbaseline: new visualization of one_vs_rest.
• Show the best iteration version in model output.

Release 1.3.0

Major Features and Improvements
Fix the bug of getting logs

Release 1.2.0

Major Features and Improvements

New components:

• Heterogeneous feature correlation component: visualizing the correlation matrix  diagram，filtering by role or variable, and scaling of the diagram
• Upload component: uploading data, and supporting for viewing data output
• Download component: downloading data, and supporting for viewing data output
• LocalBaseline component: A LR component based on Sklearn run to compare the performance  of Federated LR

Component optimization：

• Secureboost: Visual enhancement of secureboost tree diagrams, and support for scaling  and dragging trees

• Federated Sample: Filtering by label to display the table content

• Model output of some components supports global fuzzy search

• Model output of some components supports for table column sorting

• Model output of some components supports multi-host visualization and filtering by role,  and adds variable mapping

• Optimize cross-validation curves and loss curves  support visualization and interaction  of  large data volumes, and support for manual refresh during operation

Others:

• Job detail page redesign, and support for workflow scaling and dragging, and optimize  parameter  display
• Add job note and support for description and classification
• Log load optimization

Release 1.1.1

Major Features and Improvements

• Add Union component and support the model visualization

Release 1.1

Major Features and Improvements

• Support the visual tree models of secureboost
• Support the visualization for heterogeneous LinearRegression
• Support the visualization for homogeneous Deep Neural Network
• Support to view all component parameters
• Support separation of data ports and model ports in all the components
• Support visualization of evaluation results during training
• Support for job queries, filters, and list sorting
• Optimize the visual outputs of feature selection,feature binning,etc
• Optimize dashboard and workflow visualization,and support workflow scaling