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SYSTEMDS-1897
Perftest: multinomial mlogreg/naivebayes failing w/ codegen enabledSYSTEMDS-1888
Remove parfor rewrite update-in-place for intermediates
Extend outer template support for matrix-scalar ops on sparse driver
Slow codegen sparse-safe aggregates over compressed data
Unnecessary spark/mr instructions on removeEmpty select
Perftest: Kmeans shows different behavior compared to previous releasesSYSTEMDS-1881
Tuning parfor degree of parallelism for operations
Parfor remote spark w/ reuse of shared inputs
Perftest: Performance issues MSVM 1M x 1K, sparse
Perfttest: Univariate statistics 1M x 1K fails on DPESP
Perftest: Stratstats 100K x 100 fails w/ OOMSYSTEMDS-1873
Reduce scopes of instruction constructors where appropriate
Rework compiler/runtime predicate handling
Include avro dependency in the bin and standalone-jar artifacts
Perftest: MSVM 800GB fails on buffer pool eviction
Performance sparse-sparse binary ops
SYSTEMDS-1860
Add pythondoc generation steps to release-process document
Function calls with extraneous input arguments allowed
Make parsed script text available for validation errors
Misc performance issues codegen templates
Transformapply w/ empty recode maps fails w/ NPE
StepLinreg is failing w/ recompilation issue
IPA fails w/ issue of simplification rewrite
Transformdecode always produces default column names
Transformdecode fails on tokens w/ special characters
Performance issues of codegen multi aggregates over sparse inputs
Transformapply w/ column names fails with index-out-of-bounds
Performance issue codegen cellwise over multiple sparse inputs
Allow python artifact to be installed and deployed to snapshot repo
Wrong loop update-in-place decisions
Compression decision lost after recompilation or codegen
Performance issue codegen outer over ultra-sparse matrices
Transform spec literals should be checked during validate
NPE on parfor initialization w/o log4j configuration
Performance issues sparse/ultra-sparse binary read
Unary aggregate w/ corrections output to large physical blocks
Large GC overhead for scripts w/ row-wise generated operators.
Arima and MDABivar algorithms failing w/ codegen
Redundant checkpoint instructions before loops
Add set/resetConfig to Python MLContext
New simplification rewrite for merging sequences blocks
Missing compiler support scalar-frame casts
Use sphinx to generate versioned Python MLContext docs
Wrong transformapply output with col name specification and subset of cols
Missing process exit due to active frame reader threadpool
java.lang.ArrayStoreException with for-loop inside UDF
Add isStatistics and isExplain to Python MLContext
Perftest: Kmeans train fails for 10Kx100, k=50, w/ forced singlenode
Full standard deviation fails due to wrong data type
toString can return -0