h2o | H2O - the optimized HTTP/1 , HTTP/2 , HTTP/3 server | HTTP library

 by   h2o C Version: v2.3.0-beta2 License: MIT

kandi X-RAY | h2o Summary

kandi X-RAY | h2o Summary

h2o is a C library typically used in Networking, HTTP applications. h2o has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

H2O - the optimized HTTP/1, HTTP/2, HTTP/3 server
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            kandi-support Support

              h2o has a medium active ecosystem.
              It has 10393 star(s) with 830 fork(s). There are 398 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 565 open issues and 719 have been closed. On average issues are closed in 202 days. There are 94 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of h2o is v2.3.0-beta2

            kandi-Quality Quality

              h2o has 0 bugs and 0 code smells.

            kandi-Security Security

              h2o has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              h2o code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              h2o is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              h2o releases are available to install and integrate.
              It has 55093 lines of code, 1759 functions and 447 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            h2o Key Features

            No Key Features are available at this moment for h2o.

            h2o Examples and Code Snippets

            No Code Snippets are available at this moment for h2o.

            Community Discussions

            QUESTION

            weights with glm() versus weights_column with h2o.glm()
            Asked 2022-Feb-10 at 17:39

            I want to make sure the weights_column arguments in h2o.glm() is the same as the weights argument in glm(). To compare, I am looking at the rmse of both models using the Seatbelts dataset in R. I don't think a weight is needed in this model, but for the sake of demonstration I added one.

            ...

            ANSWER

            Answered 2022-Feb-10 at 17:39

            With the glm your predictions are in log form. To compare them you need to use the exponential of the predictions.

            Source https://stackoverflow.com/questions/71068729

            QUESTION

            Scientific formats, subscripts and superscripts in RMarkdown table (docx output)
            Asked 2022-Jan-31 at 22:52

            Let's say I have the following rmd:

            ...

            ANSWER

            Answered 2022-Jan-31 at 22:52

            Your code should look like this:

            Source https://stackoverflow.com/questions/70890569

            QUESTION

            Error in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = urlSuffix, : Unexpected CURL error: getaddrinfo() thread failed to start
            Asked 2022-Jan-27 at 19:14

            I am experiencing a persistent error while trying to use H2O's h2o.automl function. I am trying to repeatedly run this model. It seems to completely fail after 5 or 10 runs.

            ...

            ANSWER

            Answered 2022-Jan-27 at 19:14

            I think I also experienced this issue, although on macOS 12.1. I tried to debug it and found out that sometimes I also get another error:

            Source https://stackoverflow.com/questions/69485936

            QUESTION

            How to join two frames' rows in H2O?
            Asked 2022-Jan-27 at 18:28

            I am implementing my own algorithm in H2O's Java source code (under package h2o-algos).

            How can I join two frames' rows (i.e. vectors) in H2O given H2O Java methods?

            For instance, given two Frame A and B

            ...

            ANSWER

            Answered 2022-Jan-27 at 18:28

            This functionality is called "row binding", it is not exposed as an API method. It is, however, available as a Rapids expression (simple scheme-like language). You can follow this example to row-bind 2 H2O Frames: https://github.com/h2oai/h2o-3/blob/master/h2o-core/src/test/java/water/rapids/ast/prims/mungers/AstRBindTest.java#L40 In a nutshell, if you have 2 frames with keys A and B you would run water.rapids.Rapids.exec("rbind A B").getFrame()

            Source https://stackoverflow.com/questions/70471661

            QUESTION

            h2o build fails with java 15
            Asked 2022-Jan-12 at 08:48

            h2o version: h2o-3.34.0.3 (rel-zizler)

            Java version: openjdk version "15.0.2" 2021-01-19 (installed with: FROM adoptopenjdk:15-jre-openj9-focal)

            I want to build an XGBoost model using Java 15, but the same code with the same data which runs without issues on Java 14 (openjdk version "14.0.2" 2020-07-14) fails on Java 15, producing the following error messages:

            ...

            ANSWER

            Answered 2022-Jan-12 at 08:48

            Changing Java install to FROM openjdk:15.0.2-jdk-slim has solved the issue

            Source https://stackoverflow.com/questions/70622044

            QUESTION

            H2O Stacked Ensemble Prediction ArrayIndexOutOfBoundsException
            Asked 2022-Jan-06 at 14:54

            Using the h2o package for R, I created a set of base models using AutoML with StackedEnsemble's disabled. Thus, the set of models only contains the base models that AutoML generates by default (GLM, GBM, XGBoost, DeepLearning, and DRF). Using these base models I was able to successfully train a default stacked ensemble manually using the h2o.stackedEnsemble function (i.e., a GLM with default params). I exported the model as a MOJO, shutdown the H2O cluster, restarted R, initialized a new H2O cluster, imported the stacked ensemble MOJO, and successfully generated predictions on a new validation set.

            So far so good.

            Next, I did the exact same thing following the exact same process, but this time I made one change: I trained the stacked ensemble with all pairwise interactions between the base models. The interactions were created automatically by feeding a list of the base model Ids to the interaction metalearner_parameter. The model appeared to train without issue and (as I described above) was able to export it as a MOJO, restart the h2o cluster, restart R, and import the MOJO. However, when I attempt to generate predictions on the same validation set I used above I get the following error:

            ...

            ANSWER

            Answered 2022-Jan-06 at 14:54

            Unfortunately, H2O-3 doesn't currently support exporting GLM with interactions as MOJO. There's a bug that allows the GLM to be exported with interactions but the MOJO doesn't work correctly - the interactions are replaced by missing values. This should be fixed in the next release (3.36.0.2) - it will not allow to export that MOJO in the first place.

            There's not much other than writing the stacked ensemble in R (base model predictions preprocessing (e.g., interaction creation) and then feeding it to the h2o.glm) that you can do. There is now an unmaintained package h2oEnsemble that might be helpful for that. You can also use another metalearner model that is more flexible, e.g., GBM.

            Source https://stackoverflow.com/questions/70597370

            QUESTION

            Are H2O.ai products affected by log4shell vulnerability?
            Asked 2021-Dec-23 at 21:49

            My question is if Open Source H2O-3, Open Source Sparkling Water and Driverless AI are affected by CVE-2021-44228 and CVE-2021-45046.

            ...

            ANSWER

            Answered 2021-Dec-19 at 00:35

            H2O.ai is closely tracking the vulnerabilities and publishing updates at https://www.h2o.ai/security/bulletins/h2o-2021-001/.

            Source https://stackoverflow.com/questions/70408222

            QUESTION

            Numpy misindentifying data type
            Asked 2021-Dec-15 at 09:20

            I am calculating the coordinates of a H2O using numpy.
            I know that am using proper data types in the creation itself.

            ...

            ANSWER

            Answered 2021-Dec-15 at 09:20

            QUESTION

            Distribute resources accross H2O nodes in a multi-node cluster
            Asked 2021-Sep-20 at 18:17

            I have 2 docker containers running my webapp and my machine learning application, both using h2o. Initially, I had both calling h2o.init() and pointing to the same IP:PORT, consequently a single h2o cluster with one node was initialized.

            Consider that I have a model already trained and now I'm training a second one. During this training process, if the webapp made a call to the h2o cluster (e.g., requesting a predict from the first model), it would kill the training process (error message bellow), which was unintended. I tried setting a different port for each app but the same situation kept ocurring. I don't understand why since I thought that by setting two different ports, two indepentent clusters would be initialized, and, therefore, two jobs could run simultaneously.

            Error message

            ...

            ANSWER

            Answered 2021-Sep-20 at 18:17

            If you want to launch H2O via CLI with 3 independent nodes, then give them different names:

            -name H2O_CLUSTER_NAME_1

            -name H2O_CLUSTER_NAME_2

            -name H2O_CLUSTER_NAME_3

            If you try to give theme the same name, they will try to form a cluster. See here.

            Source https://stackoverflow.com/questions/69195292

            QUESTION

            Filtering out a chemical dataset according to information in columns
            Asked 2021-Jul-23 at 13:47

            I'm working with a chemical dataset and I was wondering about the smartest way to do the following thing. My dataset looks something like this:

            ...

            ANSWER

            Answered 2021-Jul-23 at 13:25

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install h2o

            You can download it from GitHub.

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