h2oai/h2o-3 helps convert raw data into searchable, analyzable, or automated pipelines

Описание и применение

h2oai/h2o-3: open-source проект в категориях Data. Практическое применение: organize analytics pipelines; process datasets. Уровень готовности: подходит для прототипа или внутреннего workflow, перед production нужна ручная проверка.

Задача

h2oai/h2o-3 helps convert raw data into searchable, analyzable, or automated pipelines.

Результат

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Рабочий процесс

• organize analytics pipelines
• process datasets
• improve reporting workflows

Доказательства

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.

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