Blog

Here is where you can get the latest news about the Machine Learning Database (MLDB) : releases, videos, new demos etc. We also have an RSS feed if that's your thing.


March 10, 2016
Version 2016.03.10.0 Released

Version 2016.03.10.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

  • Support for Hosted MLDB
  • The text.csv.tabular dataset has been split into the tabular dataset and the import.text procedure
  • Uniform support for vertical, horizontal and temporal aggregators
  • classifier.test supports categorical and regression modes
  • Performance, stability, documentation and packaging improvements
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February 19, 2016
Version 2016.02.19.0 Released

Version 2016.02.19.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

This release includes the following changes:

  • new functions: tensorflow.graph
  • upgraded versions of Python libaries including Jupyter 4.1
  • Performance, stability, documentation and packaging improvements
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February 11, 2016
Version 2016.02.11.0 Released

Version 2016.02.11.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

This release includes the following changes:

  • embeddings are now N-dimensional for matrix and tensor support
  • new blob data type
  • new functions: fetcher, gaussianclustering
  • new procedures: gaussianclustering.train
  • Performance, stability, documentation and packaging improvements
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February 1, 2016
Version 2016.02.01.0 Released

Version 2016.02.01.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

This release includes the following changes:

  • Performance, stability, documentation and packaging improvements
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January 27, 2016 - Nicolas Kruchten
Machine Learning Meets Economics

The business world is full of streams of items that need to be filtered or evaluated: parts on an assembly line, resum├ęs in an application pile, emails in a delivery queue, transactions awaiting processing. Machine learning techniques are increasingly being used to make such processes more efficient: image processing to flag bad parts, text analysis to surface good candidates, spam filtering to sort email, fraud detection to lower transaction costs etc.

... Full post »

January 26, 2016
Version 2016.01.26.0 Released

Version 2016.01.26.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

This release includes the following changes:

  • New dataset type: sampled
  • New procedure types: melt and import.json
  • New builtin function: unpack_json
  • Performance, stability, documentation and packaging improvements
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January 18, 2016
Version 2016.01.18.0 Released

Version 2016.01.18.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

This release includes the following changes:

  • Streamlined procedure input dataset specification to accept SQL queries (breaking change)
  • Support for INNER, OUTER, RIGHT, LEFT and FULL flavours of JOIN
  • Performance, stability, documentation and packaging improvements
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December 8, 2015
Version 2015.12.08.0 Released

Version 2015.12.08.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

This release includes the following changes:

  • new SQL from-functions: transpose, merge
  • new SQL functions: horizontal_min, horizontal_max, horizontal_avg
  • new function types: filter_stopwords, stemmerdoc, pooling, tfidf
  • new procedure type: tfidf.train
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November 26, 2015
Version 2015.11.26.0 Released

Version 2015.11.26.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

This release includes the following changes:

  • bug fixes for the text.csv.tabular dataset
  • new function type: stemmer
  • new procedure types: export.csv, import.git
  • sparse.mutable is the new default dataset for procedures
  • Performance, stability and documentation improvements
  • Code re-organization for open-source release
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November 20, 2015
Version 2015.11.20.0 Released

Version 2015.11.20.0 of MLDB is now available from Quay.io. See Running MLDB for installation details.

This release includes the following changes:

  • bugfix in the text.csv.tabular dataset
  • various documentation and performance improvements
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