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Bump rubix/ml from 0.4.2 to 2.1.0

Open dependabot[bot] opened this issue 3 years ago • 0 comments

Bumps rubix/ml from 0.4.2 to 2.1.0.

Release notes

Sourced from rubix/ml's releases.

2.1.0

Big thanks to @​torchello and @​DrDub for their huge contributions to this release!

  • Added Probabilistic Metric interface
  • Added Probabilistic and Top K Accuracy
  • Added Brier Score Probabilistic Metric
  • Export Decision Tree-based models in Graphviz "dot" format
  • Added Graphviz helper class
  • Graph subsystem memory and storage optimizations

Warning: This release contains changes to the Graph subsystem which breaks backward compatibility for all Decision tree-based learners that were saved with a previous version. Classification Tree, Extra Tree Classifiers, Random Forests, LogitBoost, Adaboost, Regression Tree, Extra Tree Regressor, and Gradient Boost are all affected.

Note: Moving forward, we will only release changes that break the backward compatibility of saved objects in a major release unless they are part of a bug fix. See https://docs.rubixml.com/2.0/model-persistence.html#caveats for an explanation as to why saved objects are not as straightforward to maintain backward compatibility as the API.

2.0.2

  • Fix Decision Tree max height terminating condition

2.0.1

  • Compensate for PHP 8.1 backward compatibility issues

2.0.0

  • Gradient Boost now uses gradient-based subsampling
  • Allow Token Hashing Vectorizer custom hash functions
  • Gradient Boost base estimator no longer configurable
  • Move dummy estimators to the Extras package
  • Increase default MLP window from 3 to 5
  • Decrease default Gradient Boost window from 10 to 5
  • Rename alpha regularization parameter to L2 penalty
  • Added RBX serializer class property type change detection
  • Rename boosting estimators param to epochs
  • Neural net-based learners can now train for 0 epochs
  • Rename Labeled stratify() to stratifyByLabel()
  • Added Sparse Cosine distance kernel
  • Cosine distance now optimized for dense and sparse vectors
  • Word Count Vectorizer now uses min count and max ratio DFs
  • Numeric String Converter now handles NAN and INFs
  • Numeric String Converter is now Reversible
  • Removed Numeric String Converter NAN_PLACEHOLDER constant
  • Added MurmurHash3 and FNV1a 32-bit hashing functions to Token Hashing Vectorizer
  • Changed Token Hashing Vectorizer max dimensions to 2,147,483,647
  • Increase SQL Table Extractor batch size from 100 to 256
  • Ranks Features interface no longer extends Stringable
  • Verbose Learners now log change in loss
  • Numerical instability logged as a warning instead of info
  • Added header() method to CSV and SQL Table Extractors
  • Argmax() now throws an exception when undefined
  • MLP Learners recover from numerical instability with a snapshot
  • Rename Gzip serializer to Gzip Native
  • Change RBX serializer constructor argument from base to level
  • Rename Writeable extractor interface to Exporter

... (truncated)

Changelog

Sourced from rubix/ml's changelog.

  • 2.1.0

    • Added Probabilistic Metric interface
    • Added Probabilistic and Top K Accuracy
    • Added Brier Score Probabilistic Metric
    • Export Decision Tree-based models in Graphviz "dot" format
    • Added Graphviz helper class
    • Graph subsystem memory and storage optimizations

  • 2.0.2

    • Fix Decision Tree max height terminating condition

  • 2.0.1

    • Compensate for PHP 8.1 backward compatibility issues

  • 2.0.0

    • Gradient Boost now uses gradient-based subsampling
    • Allow Token Hashing Vectorizer custom hash functions
    • Gradient Boost base estimator no longer configurable
    • Move dummy estimators to the Extras package
    • Increase default MLP window from 3 to 5
    • Decrease default Gradient Boost window from 10 to 5
    • Rename alpha regularization parameter to L2 penalty
    • Added RBX serializer class property type change detection
    • Rename boosting estimators param to epochs
    • Neural net-based learners can now train for 0 epochs
    • Rename Labeled stratify() to stratifyByLabel()
    • Added Sparse Cosine distance kernel
    • Cosine distance now optimized for dense and sparse vectors
    • Word Count Vectorizer now uses min count and max ratio DFs
    • Numeric String Converter now handles NAN and INFs
    • Numeric String Converter is now Reversible
    • Removed Numeric String Converter NAN_PLACEHOLDER constant
    • Added MurmurHash3 and FNV1a 32-bit hashing functions to Token Hashing Vectorizer
    • Changed Token Hashing Vectorizer max dimensions to 2,147,483,647
    • Increase SQL Table Extractor batch size from 100 to 256
    • Ranks Features interface no longer extends Stringable
    • Verbose Learners now log change in loss
    • Numerical instability logged as warning instead of info
    • Added header() method to CSV and SQL Table Extractors
    • Argmax() now throws exception when undefined
    • MLP Learners recover from numerical instability with snapshot
    • Rename Gzip serializer to Gzip Native
    • Change RBX serializer constructor argument from base to level
    • Rename Writeable extractor interface to Exporter

  • 1.3.4

    • Fix Decision Tree max height terminating condition

  • 1.3.3

    • Forego unnecessary logistic computation in Logit Boost

... (truncated)

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dependabot[bot] avatar Aug 06 '22 02:08 dependabot[bot]