Die Werkzeugbeschreibungen sind auf Englisch.

h2o-3 — Werkzeugprofil und Verlauf

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Aktiv

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Sprache
Jupyter Notebook
Lizenz
Apache-2.0
Erstellt
Letzte Aktivität
Themen
  • automl
  • big-data
  • data-science
  • deep-learning
  • distributed
  • ensemble-learning
  • gbm
  • gpu
  • h2o
  • h2o-automl
  • hadoop
  • java
  • machine-learning
  • naive-bayes
  • opensource
  • pca
  • python
  • r
  • random-forest
  • spark

Aktuelle Messung

7 497GitHub-Sterne+2 (+0.03 %)
gemessenes Wachstum

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Messverlauf

90 Tage · 90 Messungen maximal
DatumWertMetrik
7 497GitHub-Sterne
7 497GitHub-Sterne
7 497GitHub-Sterne
7 496GitHub-Sterne
7 494GitHub-Sterne
7 494GitHub-Sterne
7 495GitHub-Sterne
7 495GitHub-Sterne
7 495GitHub-Sterne
7 495GitHub-Sterne
7 495GitHub-Sterne
7 495GitHub-Sterne
7 494GitHub-Sterne
7 492GitHub-Sterne
7 494GitHub-Sterne
7 494GitHub-Sterne
7 503GitHub-Sterne
7 504GitHub-Sterne
7 503GitHub-Sterne
7 505GitHub-Sterne
7 505GitHub-Sterne
7 505GitHub-Sterne
7 505GitHub-Sterne
7 505GitHub-Sterne

Klassifikationen

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Typ
Sonstige
Anwendungsfälle
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