[RFC]: Add batch machine learning algorithms in Javascript and C (tracking issue)

[nakul-krishnakumar]

Description

This RFC proposes adding Javascript and C implementation for some batch machine learning algorithms. The purpose of this issue is to serve as a tracking issue for adding Javascript and C implementations.

Packages

Loss functions

• ml/base/loss/float64/hinge: feat: add ml/base/loss/float64/hinge #11953
• ml/base/loss/float64/hinge-gradient: feat: add ml/base/loss/float64/hinge-gradient #12216
• ml/base/loss/float64/log
• ml/base/loss/float64/log-gradient: feat: add ml/base/loss/float64/log-gradient #12241
• ml/base/loss/float64/modified-huber
• ml/base/loss/float64/modified-huber-gradient feat: add ml/base/loss/float64/modified-huber-gradient #13139
• ml/base/loss/float64/squared-hinge
• ml/base/loss/float64/squared-hinge-gradient feat: add ml/base/loss/float64/squared-hinge-gradient #13192
• ml/base/loss/float64/squared-error
• ml/base/loss/float64/squared-error-gradient feat: add ml/base/loss/float64/squared-error-gradient #13363
• ml/base/loss/float64/huber
• ml/base/loss/float64/huber-gradient
• ml/base/loss/float64/epsilon-insensitive
• ml/base/loss/float64/epsilon-insensitive-gradient feat: add ml/base/loss/float64/epsilon-insensitive-gradient #13249
• ml/base/loss/float64/squared-epsilon-insensitive
• ml/base/loss/float64/squared-epsilon-insensitive-gradient

KMeans

• Metrics enum

  • ml/base/kmeans/metrics: feat: add ml/base/kmeans/metrics #10714
  • ml/base/kmeans/metric-str2enum: feat: add ml/base/kmeans/metric-str2enum #10842
  • ml/base/kmeans/metric-enum2str: feat: add ml/base/kmeans/metric-enum2str #10841
  • ml/base/kmeans/metric-resolve-enum: feat: add ml/base/kmeans/metric-resolve-enum #12321
  • ml/base/kmeans/metric-resolve-str: feat: add ml/base/kmeans/metric-resolve-str #12322

• Algorithms enum

  • ml/base/kmeans/algorithms: feat: add ml/base/kmeans/algorithms #10796
  • ml/base/kmeans/algorithm-str2enum: feat: add ml/base/kmeans/algorithm-str2enum and ml/base/kmeans/algorithm-enum2str #12119
  • ml/base/kmeans/algorithm-enum2str: feat: add ml/base/kmeans/algorithm-str2enum and ml/base/kmeans/algorithm-enum2str #12119
  • ml/base/kmeans/algorithm-resolve-enum: feat: add ml/base/kmeans/algorithm-resolve-enum #12129
  • ml/base/kmeans/algorithm-resolve-str: feat: add ml/base/kmeans/algorithm-resolve-str #12128

• ml/base/kmeans/results/*

  • ml/base/kmeans/results/factory: feat: add ml/base/kmeans/results/* #12429
  • ml/base/kmeans/results/float32: feat: add ml/base/kmeans/results/* #12429
  • ml/base/kmeans/results/float64: feat: add ml/base/kmeans/results/* #12429
  • ml/base/kmeans/results/struct-factory: feat: add ml/base/kmeans/results/struct-factory #12356
  • ml/base/kmeans/results/to-json: feat: add ml/base/kmeans/results/* #12429
  • ml/base/kmeans/results/to-string: feat: add ml/base/kmeans/results/* #12429

• ml/base/kmeans/stats/*

  • ml/base/kmeans/stats/factory
  • ml/base/kmeans/stats/float32
  • ml/base/kmeans/stats/float64
  • ml/base/kmeans/stats/struct-factory: feat: add ml/base/kmeans/stats/struct-factory #12856
  • ml/base/kmeans/stats/to-json
  • ml/base/kmeans/stats/to-string

• ml/strided/dkmeans-init-plus-plus

  • Javscript: feat: add ml/strided/dkmeans-init-plus-plus #12312
  • C : (Blocked by node-addons)

• ml/strided/dkmeans-init-forgy

  • Javscript (Blocked by random/strided/sample)
  • C : (Blocked by node-addons)

• ml/strided/dkmeans-init-random-partition

  • Javscript: feat: add ml/strided/dkmeans-init-random-partition #12819
  • C : (Blocked by node-addons)

• ml/strided/dkmeans-compute-centroids

  • Javscript
  • C

• ml/strided/dkmeans-inertia

  • Javscript
  • C

• ml/strided/dkmeansld

  • Javscript: feat: add ml/cluster/strided/dkmeansld #9703
  • C

• ml/strided/dkmeanselk

  • Javscript
  • C

• ml/kmeans/ctor

  • Javscript
  • C

SGD Classification

• Loss enum

  • ml/base/sgd-classification/loss-functions feat: add ml/base/sgd-classification/loss-functions #13333
  • ml/base/sgd-classification/loss-function-str2enum
  • ml/base/sgd-classification/loss-function-enum2str
  • ml/base/sgd-classification/loss-function-resolve-enum
  • ml/base/sgd-classification/loss-function-resolve-str

• Learning Rate enum

  • ml/base/sgd-classification/learning-rates
  • ml/base/sgd-classification/learning-rate-str2enum
  • ml/base/sgd-classification/learning-rate-enum2str
  • ml/base/sgd-classification/learning-rate-resolve-enum
  • ml/base/sgd-classification/learning-rate-resolve-str

• ml/base/sgd-classification/results/*

  • ml/base/sgd-classification/results/factory
  • ml/base/sgd-classification/results/float32
  • ml/base/sgd-classification/results/float64
  • ml/base/sgd-classification/results/struct-factory
  • ml/base/sgd-classification/results/to-json
  • ml/base/sgd-classification/results/to-string

• ml/strided/dsgd-trainer

  • Javscript
  • C

• ml/strided/dsgd-classification-binary

  • Javscript
  • C

• ml/strided/dsgd-classification-multiclass

  • Javscript
  • C

• ml/sgd-classification/ctor

  • Javscript
  • C

• ml/perceptron/ctor

  • Javscript
  • C

[stdlib-bot]

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