Releases
v1.6.0
mgqa34
released this
31 Mar 12:58
Major Features and Improvements
SBT Transformer: new module, encode features using Hetero SBT model
Sample Weight: new module, set sample weights based on label or from feature column
Homo Feature Binning: new module, performs homogeneous federated binning, bin number and bin interval available on Board
Data Transformer: new module, same functionality as DataIO with added features such as case-insensitive
Reader: supports image format input
Hetero Feature Binning: filter results display by WOE
Hetero Pearson: support VIF computation
Feature Selection: support selection based on VIF
SecureBoost: display gain & split simultaneously; Performance Score diagram for binary classification
Cross Validation: display & download fold split history and fold prediction results
Evaluation: metrics & visualization for each one_vs_rest child model
Export job DSL & Conf files on Board
Search for jobs using party_id
Improved component model/data download
Improved performance score display over large number of iterations or cv folds
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