h2o

问题 I think I have exhausted the entire internet looking for an example / answer to my query regarding implementing a h2o mojo model to predict within RShiny. We have created a bunch of models, and wish to predict scores in a RShiny front end where users enter values. However, with the following code to implement the prediction we get an error of Warning: Error in checkForRemoteErrors: 6 nodes produced errors; first error: No method asJSON S3 class: H2OFrame dataInput <- dfName dataInput <-

问题 I think I have exhausted the entire internet looking for an example / answer to my query regarding implementing a h2o mojo model to predict within RShiny. We have created a bunch of models, and wish to predict scores in a RShiny front end where users enter values. However, with the following code to implement the prediction we get an error of Warning: Error in checkForRemoteErrors: 6 nodes produced errors; first error: No method asJSON S3 class: H2OFrame dataInput <- dfName dataInput <-

问题 I think I have exhausted the entire internet looking for an example / answer to my query regarding implementing a h2o mojo model to predict within RShiny. We have created a bunch of models, and wish to predict scores in a RShiny front end where users enter values. However, with the following code to implement the prediction we get an error of Warning: Error in checkForRemoteErrors: 6 nodes produced errors; first error: No method asJSON S3 class: H2OFrame dataInput <- dfName dataInput <-

问题 I am trying to export the weights and biases of a "model" in which I did not originally train the model with "export_weights_and_biases = TRUE" Therefore, I'd like to try to checkpoint the model and try to export_weights_and_biases = TRUE in a new "model2". However, despite not changing any of the parameters - and ensuring that nfolds=10 just as in the original "model", the checkpoint model continues to return a parameter change error almost immediately (h2o version 3.10.4.6): water

问题 I'm tuning my parameters by testing many models, and I'm fairly annoyed that I can't do much about the "Build Progress" bars that are cluttering up my iPython Notebook. I've skimmed the docs looking for some sort of "verbose" setting to turn off, but can't find it. Is there any way to turn this off when I want to train and evaluate dozens of models at once? 回答1: The function you're looking for is called h2o.no_progress() and it shuts off all progress bars in your session. If you search the

问题 I have read several threads on here in regards to h2o.predict() and h2o.performance() differences (as seen from link below). How to interpret the probabilities (p0, p1) of the result of h2o.predict() Can someone tell me which threshold does h2o.predict() use? Is it max f1 ? If so, is it the threshold from training data, validation data, or cross validation? I tried to use the validation threshold using max f1 and max f0point5 on the testing set (completely separate from training and

问题 I tried to use H2O to create some machine learning models for binary classification problem, and the test results are pretty good. But then I checked and found something weird. I tried to print the prediction of the model for the test set out of curiosity. And I found out that my model actually predicts 0 (negative) all the time, but the AUC is around 0.65, and precision is not 0.0. Then I tried to use Scikit-learn just to compare the metrics scores, and (as expected) they’re different. The

问题 how can I subset a h2o frame in python. if x is a df & Origin is a variable then in pandas we generally can do subsetting by x[x.Origin == 'AAF'] but with h2o frame it gives the following error: "H2OResponseError: Server error java.lang.IllegalArgumentException: Error: Name lookup of 'x.hex' failed" 回答1: There are a number of different ways to slice an H2OFrame, row-wise. The methods are outlined in the H2O User Guide section on Slicing Rows. Here is an Python example of subsetting an

问题 h2o was working before on my laptop, but I didn't use it for a while (and have installed new packages and updated things in the meantime). Yesterday I tried using it, but it didn't work. I erased the R h2o packaged and I've reinstalled h2o from scratch with install.packages("h2o") I tried running h2o with h2o.init() but it gives me this error java version "9" Java(TM) SE Runtime Environment (build 9+181) Java HotSpot(TM) 64-Bit Server VM (build 9+181, mixed mode) Starting H2O JVM and

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . I want to use h2o through R. The latest h2o on is 3.10.0.10, and the latest integrated h2o version for R is 3.10.0.8, which is not compatible. where can i download previous versions of h2o? 回答1: If you play with the URL (change the 10 to an 8) - you'll find: http://h2o-release.s3.amazonaws.com/h2o/rel-turing/8