关于 H2O.ai
H2O.ai 提供开源机器学习平台。借助自动机器学习功能和企业级特性，大规模构建、部署和管理人工智能模型。
标签
#开源#自动机器学习#企业
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免费开源，企业定价Visit Trend
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H2O.ai 核心功能
AutoML — Automated machine learning that trains and tunes multiple models, stacking them into a leaderboard to find the best performing model for your data.
Distributed In-Memory Computing — Utilizes distributed in-memory computing to handle large datasets and complex computations with high speed and scalability.
Model Interpretability — Provides tools like SHAP, LIME, and partial dependence plots to explain model predictions and ensure transparency.
Data Wrangling — Offers data manipulation and feature engineering capabilities to prepare data for modeling, including handling missing values and categorical encoding.
Model Deployment — Enables seamless deployment of models to production environments with options for batch scoring, real-time APIs, and integration with Kubernetes.
Enterprise Security — Includes role-based access control, SSL/TLS encryption, and integration with LDAP/AD for secure enterprise deployments.
Integration with Cloud and Big Data — Supports integration with major cloud providers (AWS, Azure, GCP) and big data platforms like Spark and Hadoop.
H2O.ai 订阅计划
Open Source
Free
- Core H2O-3 and AutoML
- Community support
- Limited to single node
- No enterprise security features
Enterprise
Custom (check official pricing)
- All open source features
- Multi-node clustering
- Advanced security (RBAC, SSO)
- Support and maintenance
- Model deployment tools
- Driverless AI (optional)
