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Questions tagged [automl]

Automated Machine Learning (AutoML) is to make machine learning more accessible by automatically generating a data analysis pipeline that can include data pre-processing, feature selection, and feature engineering methods along with machine learning methods and parameter settings

The goal of Automated Machine Learning (AutoML) is to make machine learning more accessible by automatically generating a data analysis pipeline that can include data pre-processing, feature selection, and feature engineering methods along with machine learning methods and parameter settings that are optimized for your data

More and more research and libraries are available on the topic, examples include auto-sklearn, H2O AutoML and Cloud AutoML.

434 questions
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Can H2o AutoML benefit from a GPU instance on Sagemaker platform?

I'm running some projects with H2o AutoML using Sagemaker notebook instances, and I would like to know if H2o AutoML can benefit from a GPU Sagemaker instance, if so, how should I configure the notebook?
Marcel Mendes Reis
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Problem with "metalearner" for multi-class classification in H2O AutoML (3.24.0.5) implemented in R

I am trying H2O AutoML for multi-class classification. Everything seems to be working fine except when I am trying to extract the variable importance from metalearner for the StackedEnsemble. This is what I am getting from code: # Get the…
swarn
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cross validation predictions from H2O autoML model

According to the h2o documentation, I can set keep_cross_validation_predictions = T to get the cross validation predictions from my automl model. But I cannot get it to work. Using this example from the documentation library(h2o) h2o.init() #…
spore234
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New AutoML error: Object 'dummy' not found for argument: model_id

When running H20's AutoML function I suddenly get this error, which I couldn't find anywhere else on the internet: ERROR MESSAGE: Object 'dummy' not found for argument: model_id I ran the same code before without problems, the error only occurred…
Shirin Elsinghorst
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How does H2O AutoML treat factor variables?

I am currently using H2O's AutoML for a data science project. However, nowhere in the documentation or on the internet or in the code I can find how AutoML treats factor variables - does it do one-hot encoding? Label encoding? Something more…
Thomas
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H2o Rd warning: "Missing File Link"

When downloading H2o.ai from R on my linux, I receive several warnings that a file is missing, For example: Rd warning: /tmp/RtmpdpaSKI/R.INSTALL1d3a6ccc7d9b/h2o/man/h2o.abs.Rd:32: missing file link 'abs' I'm using the standard install code for…
Michael Jules
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Using refit() in auto-sklearn for incremental learning

I have a large dataset with 50k rows and 10k columns. I am trying to fit this data using classifiers in auto-sklearn. Due to limited resources, I have partitioned the data into batches and intend to use incremental learning. Is it possible to use…
Anand
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h2o automl max_runtime_secs not stopping execution

To Whom It May Concern, The code below is being run in a Docker container based on jupyter's data science notebook; however, I've install Java 8 and h2o (version 3.20.0.7), as well as exposed the necessary ports. The docker container is being run on…
cjmobley
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How do I programmatically train my Google Cloud AutoML Custom Model?

I have a .NET web app I am setting up to identify random objects. I set up a custom model with ~500 labelled images and am able to successfully get a prediction for an image via the REST API. But how can I add to that models' dataset and train it…
user3636407
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"Invalid arguments of request" when clicking "Start training" i

I have uploaded 22 images and tagged with 2 tags. But when I click start training I get an "Invalid arguments of request". The images have been uploaded through the interface. I had to manually create the bucket. What can have gone wrong? I have…
Kevin Simper
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How to train h2o automl models iteratively

I was trying to train using h2o.automl(). But the training exited due to timeout. I know max_runtime_secs can be set to higher numbers. But it would be great if we can train for 1 hour, then save it somewhere. Again train it next day from where it…
Soumya Boral
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Error in PyCaret AutoML Web App: Unexpected 'setup()' Argument 'silent' - How Can I Fix This?

I'm working on an AutoML web application using PyCaret, Streamlit, and pandas_profiling. My app allows users to upload a dataset, perform exploratory data analysis (EDA) with pandas_profiling, and build classification models using PyCaret. However,…
Vikas Sharma
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Problem with Azure Machine learning and batch endpoint

I created a model with automl, obviously I used the best model and I created a batch endpoint. With Azure Data factory I'm calling the batch endpoint and I don't know why but when the job starts it fails immediately with this error: Unable to get…
alessandro rapiti
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ML.NET experiment never completes

I am trying to build a console app with AutoML.NET for a regression problem. Although my code seems working, it never completes and just hanging at the line of the RunAsync() method. Below are my used libraries and data can be found at the (Data)…
Alanq
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pycaret export train and test before and after transformation

I am trying to build a ML model using pycaret. I used the below setup function clf = setup(data = df.loc[:, df.columns != 'ID'], target='final_label',session_id=123, categorical_features=['Gender','Country'], …
The Great
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