h2o

Python H2O Memory Management

一世执手 提交于 2020-12-05 09:35:12
问题 Similar to this question in R here, I get out of memory issues when running loops with grid search in H2O. In R, doing gc() during each loop did help. What is the proposed solution here? 回答1: There appears to be no h2o.gc() function in the Python API. See "How can I debug memory issues?" in the FAQ. You could POST that back-end command ( GarbageCollect ) directly using the REST API if you suspect the problem is the back-end holding on to memory that it no longer should be. Studying the

作业2

北慕城南 提交于 2020-11-22 04:35:19
1.通过试验(即编写带有此类问题的程序)观察系统如何处理整数上 溢、浮点数上溢和浮点数下溢的情况。 #include<stdio.h> int main (void) { int z1; float f1,f2; z1=-2147483647; f1=3.4E38; f2=-3.4E38; printf("%d,%d,%d",z1,z1-1,z1-2); printf("%f,%f,%f",f1,f1*10); printf("%f,%f",f2,f2/10); return 0; } 2.编写一个程序,发出一声警报,然后打印下面的文本:Startled by the sudden sound, Sally shouted,"By the Great Pumpkin, what was that!" #include<stdio.h> int main() { printf("\a"); printf("Startled by the sudden sound, Sally shouted,\n"); printf("\"By the Great Pumpkin, what was that!\"\n"); return 0; } 3.编写一个程序,读取一个浮点数,先打印成小数点形式,再打印成指 数形式。然后,如果系统支持,再打印成p记数法(即十六进制记数法)。 按以下格式输出

Importing model file into docker container h2o

爱⌒轻易说出口 提交于 2020-07-10 10:26:33
问题 I'm new to docker . Attempting to setup a docker container with the base image for h2o. URL : https://hub.docker.com/r/h2oai/h2o-open-source-k8s I have a challenge now . h2o when running in a docker gets exposed via the defined port :say 54321 So if I want to import my pre-trained models into the container and build my own image , Is this possible ? How do access my models then from external applications ?. I'm quite confused. Any guidance will be of great help . 来源: https://stackoverflow.com

Is there a metric in H2O isolation forest to measure model performance on datasets without labels?

谁都会走 提交于 2020-06-28 06:41:31
问题 I am running H2O isolation forest on a dataset without labels in R to detect outliers. It’s impossible for me to get the labels for my data. There are categorical features in my dataset. Basically, what I am doing is I use the same dataset to train the model and predict the anomaly scores, and then arbitrarily pick the top 1% with the largest anomaly scores and the shortest lengths as the outliers. This is my code. seed <- 12345 ntrees <- 100 max_depth <- 8 # default is 8 sample_size <- 256 #

h2o.glm does not match glm in R for linear regressions

主宰稳场 提交于 2020-06-25 06:39:08
问题 I have been working with H2O.ai (version 3.10.3.6) in combination with R. I am struggling to replicate the results from glm with h2o.glm. I would expect exactly the same result (evaluated, in this case, in terms of mean square error), but I am seeing must worse accuracy with h2o. Since my model is Gaussian, I would expect both cases to be ordinary least squares (or maximum likelihood) regressions. Here is my example: train <- model.matrix(~., training_df) test <- model.matrix(~., testing_df)

Python cannot find package h2o in anaconda

怎甘沉沦 提交于 2020-06-25 00:41:47
问题 When I try to import h2o I am told that the package does not exist. When I try to install it, it tells me it already exists. I have tried wiping it out of my computer and reinstalling to no avail. At this point all I can think is some environment variable. (C:\Users\Lanier\Anaconda2) C:\Users\Lanier>python Python 2.7.12 |Anaconda custom (64-bit)| (default, Jun 29 2016, 11:07:13) [MSC v.1500 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information.

Python cannot find package h2o in anaconda

…衆ロ難τιáo~ 提交于 2020-06-25 00:41:08
问题 When I try to import h2o I am told that the package does not exist. When I try to install it, it tells me it already exists. I have tried wiping it out of my computer and reinstalling to no avail. At this point all I can think is some environment variable. (C:\Users\Lanier\Anaconda2) C:\Users\Lanier>python Python 2.7.12 |Anaconda custom (64-bit)| (default, Jun 29 2016, 11:07:13) [MSC v.1500 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information.

Multi node cluster installation with h2o on AWS EC2

别来无恙 提交于 2020-05-29 04:16:07
问题 I was wondering about how to set up a h2o cluster using multiple AWS EC2 instances and R-Studio. I am not a computer scientist, so sorry for the trivial questions (!) Based on this tutorial (http://amunategui.github.io/h2o-on-aws/) I sucessfully installed h2o and R-Studio on an AWS EC2 instance (Linux). But I rather want to create a multi-instance cluster with lets say 4 instance with 8 cores each. Following this (http://h2o-release.s3.amazonaws.com/h2o/rel-lambert/5/docs-website/deployment