Bulk Operation

SPARK-17133 Resolve code duplication for classification/regression summarizers

SPARK-17133 Use level 3 BLAS operations in LogisticAggregator

SPARK-17133 Avoid unnecessary standardization in multinomial logistic regression training

SPARK-17133 Proper handling for unseen labels in logistic regression training.

SPARK-17133 Investigate numerical instability for MLOR without regularization

SPARK-17133 Merge MLOR into a single LOR interface

SPARK-17133 Decide how to handle inferring number of classes in Multinomial logistic regression

SPARK-17133 Add initial model to MultinomialLogisticRegression

SPARK-17133 Add model summary for MultinomialLogisticRegression

SPARK-17133 Python API for multinomial logistic regression

SPARK-17133 Add compressed support for multinomial logistic regression coefficients

SPARK-17133 Design optimizer interface for ML algorithms

SPARK-17133 Consolidate code in linear/logistic regression where possible

SPARK-17133 Use level 2 BLAS operations in LogisticAggregator

SPARK-17133 Make tree aggregation level in linear/logistic regression configurable