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Questions tagged [driverless-ai]

H2O Driverless AI is an artificial intelligence (AI) platform that automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection and model deployment. It aims to achieve highest predictive accuracy, comparable to expert data scientists, but in much shorter time thanks to end-to-end automation.

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How does DAI handle new (unseen in training) categorical values within a production environment?

I would like confirmation that DAI follows a similar structure for dealing with categorical variables it didn't encounter within training, as in this answer h2o DRF unseen categorical values handling. I could not find it explicitly within the H2O…
kevin_theinfinityfund
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Multilabel classification using H20.ai

We are testing out the capabilities of driverless AI. One of our first datasets is like this. X1,X2.... X400, Y1,Y2...Y200 Here we want to do multi-label classification on our dataset. However, in the driverless AI web client, there is only an…
prog_guy
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Does Driverless AI from H2O.ai support mutivariate time series analysis?

Does Driverless AI support mutivariate time series analysis? I'm trying to do a Time Series Analysis Anomaly forecasting where I need to forecast the spikes in Incident Management ticket Count based upon the Geography (location) and the Type of…
morelloking
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How to properly do an AWS Lambda API Post Request with JSON file using Python

I wanted to confirm/see if there is a better way to be making a post request to an API endpoint that was generated for an AWS Lambda? Simply I'm trying to optimize this curl without using a subprocess call. With this code I get an error status code…
kevin_theinfinityfund
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Fraud Ring Detection using H2O driverless AI - samples, pointers needed

I am very curious to know how H2O can help in Fraud Ring Detection. I am referring to Venkatesh Reamanthan's video here where he talks about fraud ring detection and wanted to know if there are any samples published by H2O. We all know that, if…
SRK
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H2O driverless AI deployment with Snowflake clarification?

I see Snowflake has a partner connect through which I could activate the H2O Driverless AI and access Snowflake from there. I also see that H2O Driverless AI can be independently deployed on any cloud cluster, by we managing our own cluster…
Roshan Fernando
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Are H2O.ai products affected by log4shell vulnerability?

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.
Michal
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ModuleNotFoundError: No module named 'h2oaicore'

I am following the tutorial of driverless: Driverless AI Standalone Python Scoring Pipeline, you can check it in the following link: http://docs.h2o.ai/driverless-ai/latest-stable/docs/userguide/scoring-standalone-python.html#tar-method-py I am…
Eri
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Is there a way to install h2o driverless ai on windows 10?

I am trying to install h2o driverless ai and so far I am unable to find any way. I am using jupyter notebook and I am unable to import h2oai_client. My python version : pip 20.0.2 from C:\Users\user\miniconda3\lib\site-packages\pip (python…
Firenze
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Time series in Driverless AI H2O

I have time series data with two column: Date and Volume such as enter image description here I want to predict volume of next day, so how can I setup parameters? P/S: i set forecast horizon equal 1 but output predict show only 5 last day in time…
Shenlong
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Does DAI standardize/normalize during training, which methods does it try, and does the genetic algorithm try them all?

Often I'm unsure to what extent to preprocess my data while using DAI. Often you want to reduce the dimensionality, rid duplicate features, standardize/normalize, etc... for a production level model. Is there a rule at which I should stop personal…
kevin_theinfinityfund
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How to make H2O driverless AI use more cores on CPU?

My machine has 20 cores on its CPU, but when running Driverless AI, it uses only 4 of them.How can I make it use more cores for faster results?
Roshan Shah
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How to format a data set for time series prediction in H2O's Driverless AI

For simplicity, say that I am attempting to predict the following day of a sequence of single-valued variables, therefore my datasaet would be in the form of: input label x1 x2 x2 x3 x3 x4 ... ... xt …
KOB
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Explicitly make GLM model on h2o driverless AI

I have done a few experiments on h2o driverless AI. Was curious to know whether we can explicitly ask the experiment to train using GLM. Or it will always make model the way it does?
IYY
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Time series based features for binary classification

Is it possible (and how?) to provide time series for binary classification in H2O.ai's Driverless AI? I have dataframe that looks like this: ID Status/Target [0/1] TimeStamp for events that happened on given ID, in last 90 days Details of those…
Ingelik
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