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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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Model_id Column Leadboard H2O

I'm not able to understand the models generated by the H20 automl! The output is like this, for example: StackedEnsemble_AllModels_1_AutoML_1_20220809_134944 How can I know which base models used by stacked?
Cynthia Maia
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Why is DRF (Distributed Random Forest) slower than XGBoost in h2o automl

I am using H2O Auto ML and while comparing the time for XGBoost and D-RandomForest, DRF is taking a lot more time than XGBoost! Code for DRF: x = hf.columns y = target_metric x.remove(y) aml = H2OAutoML(max_models=1, seed=1,…
Priyadutt Bhatt
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MLJAR-Supervised scaling

I am having some trouble understanding what mljar-supervised does with data. I am trying to replicate the model in CatBoost standalone. My doubts about y: in framework.json I have: "preprocessing": [ { "scale_y": { …
Paul
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What is the best way to add a custom defined scheduler in RayTune?

I want to try some scheduler for ASA and HPO that is not implemented on RayTune so I was wondering if there is any way to do that as I could not find information about that on the documentation.
Pepe
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H2o.explain confusion matrix

I am trying to understand how the confusion matrix in h2o.explain is generated. If I use the following code: h2o.explain(model@leader, test_set, include_explanations="confusion_matrix"), is the generated confusion matrix evaluating the model…
Statwonder
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Writing a Python Program to Leverage Google AutoML for Entity Extraction

I am trying to leverage Google's AutoML Natural Language to extract entities from PDF documents, and exported those entities and associated values into csv files. I have already trained an entity extraction model on the AutoML UI, and am now working…
Jetson Earth
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Failed to flush task queue within 120 seconds on Automatic ML

I'm running a Automatic ML on Azure but it fails and this is the error the child jobs are giving me. Starting the automl_batch_driver setup... Set enable_streaming flag to False Batch Run Id in the real script: …
Red Dragon
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Trying out the h2o autoML option preprocessing = ["target_encoding"]. How to handle and check performance in the unseen data?

Trying out the h2o autoML option preprocessing = ["target_encoding"].The test performance did improve. How do I apply similar transformation on the unseen/ out of time data to check performance?
Payal Sengupta
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Encountered an internal AutoML error - PipelineRunException: No group keys passed

I have created pipeline using python sdk AutoML for data preparation, AutoML training and deploy as endpoint url with scheduler option. It was working as expected for past day. Today i tried to create new pipline at the AutoML model creation I got…
Gokul D
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API Key for Azure Machine Learning Endpoint

I am using Azure ML, I made my models and now I want to connect them to Data Factory to run some process. I implement an endpoint, but I can't find the API key for the endpoints. Right now, I have the REST endpoint, but not in key-based…
Luis Eduardo Vivar
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Error Installing H2O in Python - AttributeError: partially initialized module 'h2o' has no attribute 'init' (most likely due to a circular import)

I followed the steps given by the site (https://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html) and install the following: pip install requests pip install tabulate pip install future pip uninstall h2o pip install -f…
Scoby
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Vertex AI forecasting AutoML giving different answers for same input data

I trained Vertex AI forecasting AutoML model one with target column as String and other numeric input features as String then I trained another AutoML model with target column as float and other input features as Integer. The predictions are…
Hitesh Somani
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Does AutoML accept external models?

I used random search and got the best hyper parameters for my model, can I pass that model to the AutoML? Does AutoML do the random search for the best hyper parameters by itself? or is there something I need to pass?
user11974462
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Ai used for recognizing emojis on wallpaper

I want to build an app that will recognize what emojis have been used on the wallpaper. So for instance this app will receive on input: And on output should array of names of recognizing emojis return: [ "Smiling Face with Sunglasses", …
dosad
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(Google AutoML) Error: 3 INVALID_ARGUMENT: Unsupported payload type `row`

I'm trying to port a Python function to javascript that runs a prediction model created on Google Cloud. Everything works perfectly, until calling the .predict() method as it always throws an Unsupported payload type row error message. The format of…
xfx
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