9.030

• Documentation fixes (and correctness fixes) for gradient1d and readme note.
• Added datatype entries for :big-integer and :big-decimal.

9.028

• JSON parsing in this library is deprecated. Please use the charred library for fast json and csv parsing.
• The Tensor deftype is changed to DataTensor as the auto-generated ->Tensor function causes issues with the compilation of the ->tensor public API function. Also the function to create the data classes concretely have now been private.

9.022

• fast json parsing - as fast as anything on the JVM and faster than most - with options for even faster if you don't need everything to be immutable.

9.021

• :trim-leading-whitespace?, :trim-trailing-whitespace?, and :nil-empty-values? are all supported in csv parsing to bring feature set up to par with univocity. These changes allow all tech.ml.dataset csv-based unit tests to succeed.

9.020

• :column-whitelist and :column-blacklist are now supported for csv parsing.

9.019

• Move to cached thread pool for queue-iter.

9.018

• Fast csv parsing.
• Related, function to take an iterator and realize it into a queue in an offline thread returning a new iterator - queue-iter.

9.017

• (argops/argfilter) respects boolean/double-nan rules below.

9.016

• Double/NaN, when casted to a boolean, evaluates to false. This make the behavior of (ds/filter-column col identity) and (dtype/elemwise-cast item :boolean) consistent across float, double and all object datatypes.
• insn is not loaded until required with requiring-resolve from the FFI system. This allows you to pre-generate FFI bindings during build time but not require insn or org.ow2.asm/asm at runtime enabling greater compatibilty with hadoop-based systems which include a legacy version of org.ow2.asm/asm which is incompatible with insn.

9.015

• tech.v3.parallel - adds ForkJoinPool/commonPool-based pmap, and upmap parallelism constructs that will bail and use map variants if already in a fork join thread.

9.013

• epoch-nanosecond is an int64-aliased datatype.

9.012

• Removed insn optimizations for tensor ops for now. No one is using those pathways and it just increases startup time.
• Removed logging around JDK-17 specific optimizations for vms < 17.
• Rolling now can handle variables windows that are left, right, and centered relative window positions.

9.009

• Added google analytics to documentation so we know which pages are getting referenced the most.

9.007

• Removed DType's custom vector class - creating vectors with (vector) is fine up to 6 args which works for now.

9.006

• Base Clj java API has faster map/vector creation.
• DType now exposes map factory and fast vector creation.
• A slightly optimized FastStruct is now a datatype java object.

9.005

• Expose one of the most useful Clojure functions, repeatedly.

9.004

• Expose tensor to neanderthal and nippy freeze/thaw of tensors.

9.002

• Expose map,filter from clj interface.

9.001

• Added tech.v3.datatype.Pred package to allow fast (in terms of typing) creation of typed unary predicates from java.

9.000

• Changed API to rolling so that you can pass in a normal subtraction operator and get the result you expect. This is reverse of how it worked in version 8.064.

8.064

• More niceties in the Clojure api.
• Tensor broadcast is fixed which fixed mset!.

8.063

• Added tech.v3.datatype.VecMath and tech.v3.datatype.Stats packages to the public Java API..

8.062

• More types exposed in Clj.java.
• compile pathway exposed in Clj.java.
• indexMapReduce exposed in DType.java and an example given in java_test.

8.060

• Fixed issue with makeTensor

8.059

• Added simple descriptor buffer types for asArrayBuffer and asNativeBuffer so users can get to the data in the simplest possible way.

8.058

• Java api includes nio buffer support by default.

8.057

• Start of changelog.
• Initial cut at java api.