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

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  • ¿Algo no está bien?
#12,875 1 comentario 0 reacciones 0 asignados Ver en GitHub

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Nadie ha tomado este issue todavía.

Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
20/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Tranquilo
Stack tecnológico
c, javascript
Área
machine-learning

Línea de trabajo

Este es un RFC amplio de seguimiento que abarca los paquetes bajo ml/base, ml/strided, ml/kmeans, ml/sgd-classification y ml/perceptron. Empieza seleccionando un elemento sin marcar que no esté marcado como blocked; después, inspecciona el issue referenciado cuando exista y compara las entradas completadas cercanas de la checklist. Hecho significa que la implementación seleccionada en JavaScript o C está completada y que la entrada correspondiente de la checklist se puede marcar como finalizada.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

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: #11953
  • ml/base/loss/float64/hinge-gradient: #12216
  • ml/base/loss/float64/log
  • ml/base/loss/float64/log-gradient: #12241
  • ml/base/loss/float64/modified-huber
  • ml/base/loss/float64/modified-huber-gradient #13139
  • ml/base/loss/float64/squared-hinge
  • ml/base/loss/float64/squared-hinge-gradient #13192
  • ml/base/loss/float64/squared-error
  • ml/base/loss/float64/squared-error-gradient #13363
  • ml/base/loss/float64/huber
  • ml/base/loss/float64/huber-gradient #13521
  • ml/base/loss/float64/epsilon-insensitive
  • ml/base/loss/float64/epsilon-insensitive-gradient #13249
  • ml/base/loss/float64/squared-epsilon-insensitive
  • ml/base/loss/float64/squared-epsilon-insensitive-gradient #13498
KMeans

  • Metrics enum

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

  • Algorithms enum

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

  • ml/base/kmeans/results/*

    • ml/base/kmeans/results/factory: #12429
    • ml/base/kmeans/results/float32: #12429
    • ml/base/kmeans/results/float64: #12429
    • ml/base/kmeans/results/struct-factory: #12356
    • ml/base/kmeans/results/to-json: #12429
    • ml/base/kmeans/results/to-string: #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: #12856
    • ml/base/kmeans/stats/to-json
    • ml/base/kmeans/stats/to-string

  • ml/strided/dkmeans-init-plus-plus

    • Javscript: #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: #12819
    • C : (Blocked by node-addons)

  • ml/strided/dkmeans-compute-centroids

    • Javscript
    • C

  • ml/strided/dkmeans-inertia

    • Javscript
    • C

  • ml/strided/dkmeansld

    • Javscript: #9703
    • C

  • ml/strided/dkmeanselk

    • Javscript
    • C

  • ml/kmeans/ctor

    • Javscript
    • C
SGD Classification

  • Loss enum

    • ml/base/sgd-classification/loss-functions #13333
    • ml/base/sgd-classification/loss-function-str2enum #13430
    • ml/base/sgd-classification/loss-function-enum2str #13430
    • ml/base/sgd-classification/loss-function-resolve-enum #13473
    • ml/base/sgd-classification/loss-function-resolve-str #13471

  • Learning Rate enum

    • ml/base/sgd-classification/learning-rates #13377
    • ml/base/sgd-classification/learning-rate-str2enum #13429
    • ml/base/sgd-classification/learning-rate-enum2str #13429
    • ml/base/sgd-classification/learning-rate-resolve-enum #13474
    • ml/base/sgd-classification/learning-rate-resolve-str #13475

  • 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
Lenguaje dominante
JavaScript
Estrellas
6k
Forks
1.3k
Merge medio
1 d 9 h
PR fusionados (30 d)
607

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  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
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  4. Abre un pull request que haga referencia al número del issue.

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