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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Using Google Cloud AutoML Vision Model in React-Native

I am going to use a trained Google Cloud AutoML Vision Model for detecting an object and getting coordinates in React-Native. I already trained the model but I should use the token for calling the trained model. I can generate the token by using the…
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Unable to flush task queue within 1200 seconds

When running my automl pipeline, i am consistently getting an error during the MetricsAndSaveModel activity which causes my model training run to fail: 2019-12-06 22:48:01,233 - INFO - 295 : ActivityCompleted: Activity=MetricsAndSaveModel,…
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AzureML time series model cannot recognize feature values on inference

I have downloaded a trained model from Azure Machine Learning. It was trained with Automated ML, using the Time Series forecasting preset. When I want to run predictions, I get this message: NumericalizeTransformer: Column AircraftModel contains…
MartinHN
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how to generate the confusion matrix through cross validation in python?

I am using the iris flower dataset to do the sorting. I need to make a confusion matrix through cross validation (fold = 10) but I don't know how to do it. I generated the confusion matrix of only one round. # I am using TPOT autoML library…
Jane Borges
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Python can't find automlconfig and automlrun

I'm working on azure from past few months, and everything was working fine, and now I'm having issues, I cant import automlconfig and automlrun from azureml.train.automl. I have tried all possible solutions, even azure jupyter-vm which by default…
jai
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Azure Machine Learning Service - dataset API question

I am trying to use autoML feature of AML. I saw that in the sample notebook it is using Dataset.Tabular.from_delimited_files(train_data) which only takes data from a https path. I am wondering how can I use pandas dataframe directly automl config…
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importing training data to CloudML with images that do not have a file-extension

i created some training data and put the CSV in the google-storage, but it looks like the import won't work when the files do not have a proper .jpg extension: Error: INVALID_ROW: Invalid input found at row 1 of…
phoet
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debugging python autosklearn on wsl 2 ubuntu with vs code

I have a python script using autosklearn. I am running this under wsl ubuntu 1804, because the package didn't intall in windows. I've been running jupyter notebook to create the script initially. It runs fine in the browser, but in order to go…
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H2O Download CSV in Azure Machine Learning

I am trying to build a ML model in Azure Machine Learning using H2o AutoML and could successfully create the model and do prediction. What I am struggling with is to download the result as csv (ideally to my local PC). The code I used is : #Predict…
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Is it possible to undeploy a Google Cloud AutoML Vision Image Classification model when it's not being used?

I know how to undeploy/redeploy an Object Detection model - but my overall project uses both Object Detection and Image Classification. What's the best way to save money when we're not using both? It's easy to remove the deployment of the Object…
Matthew Runo
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How to see which features are used in the trained machine learning model?

After training a model with autoML tool of H2O, I can see the variable importance with saved_model.varimp_plot(). I am curious about the feature engineering part whic H2O claims to do. I'm trying simple lines of code sapmles in the documentation of…
Ege
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Classification using H2O.ai H2O-3 Automl Algorithm on AWS SageMaker: Categorical Columns

I'm trying to train a model using H2O.ai's H2O-3 Automl Algorithm on AWS SageMaker using the console. My model's goal is to predict if an arrest will be made based upon the year, type of crime, and location. My data has 8 columns: primary_type:…
brice
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H2O Automl in R and Python

I have a very simple question. I recently started working on python. Here is the R codes for H2O Automl aml <- h2o.automl(x = x, y = y, project_name =gtp,max_runtime_secs = 99, max_runtime_secs_per_model = 3600, leaderboard_frame =…
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Generate CSV import file for AutoML Vision from an existing bucket

I already have a GCloud bucket divided by label as follows: gs://my_bucket/dataset/label1/ gs://my_bucket/dataset/label2/ ... Each label folder has photos inside. I would like to generate the required CSV – as explained here – but I don't know how…
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How to automatically employ all the model parameters of non-winning models of h2o automl?

I am fairly new to h2o and trying to get my head around it. I am currently using automl and from the models on my leaderboard I have decided to use the 3rd model not the leader model. I do that using the code below and then get the parameters of…
Marina
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