Apps Like H2O.ai & Comparison with Popular Alternatives For Today

H2O.ai H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive… H2Oโ€™s core code is written in Java. Inside H2O, a Distributed Key/Value store is used to access and reference data, models, objects, etc., across all nodes and machines. The algorithms are implemented on top of H2Oโ€™s distributed Map/Reduce framework and utilize the Java Fork/Join framework for multi-threading. The data is read in parallel and is distributed across the cluster and stored in memory in a columnar format in a compressed way. H2Oโ€™s data parser has built-in intelligence to guess the schema of the incoming dataset and supports data ingest from multiple sources in various formats…. More Info ยปH2Oโ€™s REST API allows access to all the capabilities of H2O from an external program or script via JSON over HTTP. The Rest API is used by H2Oโ€™s web interface (Flow UI), R binding (H2O-R), and Python binding (H2O-Python).The speed, quality, ease-of-use, and model-deployment for the various cutting edge Supervised and Unsupervised algorithms like Deep Learning, Tree Ensembles, and GLRM make H2O a highly sought after API for big data data science.RequirementsAt a minimum, we recommend the following for compatibility with H2O: Operating Systems: Windows 7 or later OS X 10.9 or later Ubuntu 12.04 RHEL/CentOS 6 or later Languages: Scala, R, and Python are not required to use H2O unless you want to use H2O in those environments, but Java is always required. Supported versions include: Java 7 or later. Note: Java 9 is not yet released and is not currently supported. To build H2O or run H2O tests, the 64-bit JDK is required. To run the H2O binary using either the command line, R, or Python packages, only 64-bit JRE is required. Both of these are available on the Java download page. Scala 2.

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