MLDB is the Machine Learning Database. It’s the best way to get machine learning or AI into your applications or personal projects. Head on over to MLDB.ai to try it right now or see Running MLDB for installation details.
We’re happy to announce the immediate availability of MLDB version 2017.01.24.0.
This release contains 123 new commits and modified 1653 files. On top of many bug fixes and performance improvements, here are some of the highlights of this release:
pymldb’s Progress Bar and Cancel Button Tutorial for more details.
blob_length(x)function that returns the length (in bytes) of the blob
parse_exif(blob)function that takes a JPEG image blob and returns basic EXIF information from it.
split_part(str, splitChars)function that splits the string
strand returns an embedding of all tokens as separated by the provided
fetcher()function now works with UTF-8 paths.
fetcher()function when it should return a 404.
fetcher()function that could make MLDB hang for a long time.
/logs/mldbendpoint has been increased from 1024 to 8192 lines.
columnPathElement()function when using an out of bounds index.
row_dataset. It is also now possible to merge two
WHEREclause would not be properly applied when used with a dataset of type
mldb_runnerprocess exits with a non-zero exit code, the
docker runcommand will also exit with a non-zero exit code.
atomreturn format was added. It returns a single atomic value, without the row name or the column name. The query will fail if anything other than a single row / column is returned. This is available in when using the
assert()to throw so that they are recoverable.
transformprocedure with no input.