Stack Overflow
Stack Overflow

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
2
votes
1 answer

AutoML php PredictionServiceClient autentication error

I'm trying to use Google AutoML prediction service with a custom model I trained and it's returning the following error: Client error: `POST https://oauth2.googleapis.com/token` resulted in a `400 Bad Request`…
Gdiribarne
  • 21
  • 3
2
votes
0 answers

Auto-sklearn feature importance

I am trainning a model in autosklearn with ensembling method, And I was wondering If I can get a list of feature importance of the final ensemble model after fitting? Thanks
jeb
  • 21
  • 1
2
votes
1 answer

How to disable GPUs in H2O AutoML

When I run an experiment with H2O AutoML, I got the error: "terminate called after throwing an instance of 'thrust::system::system_error' what(): parallel_for failed: invalid resource handle". This error message comes from XGBoost and it is because…
johncasey
  • 1,250
  • 8
  • 14
2
votes
2 answers

pip install automl gets stuck

I've tried to install automl (https://pypi.org/project/automl/) from PyCharm and conda but consistently get stuck at the end of the following text: Requirement already satisfied: multiprocess>=0.70.7 in…
rahs
  • 1,759
  • 2
  • 15
  • 31
2
votes
0 answers

h2o AutoML: Is it possible to customise the cross-validation philosophy with h2o AutoML instead of using the default K-Fold cross validation?

I'm looking at using h2o's AutoML functionality to benchmark different model algorithms, but I wish to do it with a custom cross-validation strategy. Based on the current documentation, I understand that AutoML default CV method is the conventional…
Kenneth Foo
  • 33
  • 3
2
votes
1 answer

Blocked Algorithms still run for Azure AutoML Experiment

I have been trying to run an AutoML Forecasting Experiment with only allowing one algorithm (FBProphet) to run and no other supported algorithms. The issue I run into is that even though I specify the blocked algorithms, they still run in the…
Megha Lokanadham
  • 43
  • 2
2
votes
1 answer

Request had invalid authentication credentials. Expected OAuth 2 access token, login cookie or other valid authentication credential automl

I am a novice developer who wants to learn how to use artificial intelligence. So I created model and it responds correctly according to the inputs. So I want to test using postman a call to the API to verify that everything works and I have an…
Dodji Aguessy
  • 21
  • 2
2
votes
1 answer

batch predictions google automl via python

I'm pretty new using stackoverflow as well as using the google cloud platform, so apologies if am not asking this question in the right format. I am currently facing an issue with getting the predictions from my model. I've trained a multilabel…
LvO
  • 21
  • 3
2
votes
1 answer

Google Cloud AutoML Vision API - Service account custom-vision@appspot.gserviceaccount.com does not exist

I am currently working on a tutorial about the Google Cloud AutoML Vision API. When I try to execute this command (step 8): gcloud projects add-iam-policy-binding…
NilsB
  • 21
  • 3
2
votes
1 answer

Use of validation_frame in H2O AutoML

Just started with H2O AutoML so apologies in advance if I have missed something basic. I have a binary classification problem where data are observations from K years. I want to train on the K-1 years and tune the models and select the best one…
Dinos Bachas
  • 23
  • 4
2
votes
0 answers

Problem with h2o. AutoML. Unexpected CURL error: getaddrinfo() thread failed to start

I'm trying to run a h2o.automl script, nothing too complex, that has worked before plenty of times on my current machine autoML= h2o.automl(x = x, y = y, training_frame = data.trainingtest.h2o, …
Gabriel Gajardo
  • 65
  • 7
2
votes
1 answer

Multiclass classification with Google AutoML Tables

I am using Google autoML tables for a multiclass classification problem where the number of classes is 110. For some reasons, the learned model only predicts probabilities for 40 classes and I don't understand why. These classes being the most…
Yass Light
  • 23
  • 4
2
votes
1 answer

Access the leaderboard in h2o automl in between and extract metrics of models that are completed?

In h2o automl can we find which models are completed and see their metrics while training is going on ? eg: maxmodels=5 , so can we extract the information of model 1 while others(models 2 ,3) are getting trained.
utopianpallu
  • 21
  • 2
2
votes
1 answer

export google cloud auotml model

I have trained, deployed and evaluated a model successfully on google cloud platform's natural language product AutoML Text & Document Classification. When i see all deployed models, there is no option to export the model, only delete option is…
Bhavya
  • 572
  • 3
  • 14
2
votes
1 answer

How do I resolve "KeyError: 'brand'" when running an experiment using Azure Automated Machine Learning?

I am using the Azure Automated Machine Learning SDK to train a machine learning model on my dataset. However, after the experiment, all my training iterations fail with a KeyError: 'brand' error even if the model training itself succeeded. How can I…
Eric Ahn
  • 716
  • 1
  • 5
  • 15
1 2 3
…
28 29