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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.

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Golang and gcloud API: how to get an auth token

Because Google AutoML does not have a golang client, I have to use the AutoML http client. To do so, requires an auth token from google which comes from running the following cli command: gcloud auth application-default print-access-token I am…
TheBottleSeller
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Google AutoML Vision- How to call for multiple predictions

I'm creating a Firebase hosted webapp based on Google's I/O '17 presentation where Google's AutoML Vision can take a picture of a cloud and tell you what type of cloud it is based on its machine learning training. The code I'm using only allows for…
Jason
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Google Cloud AutoML API REST call

I'm trying to send a simple request, via Postman, to the Google Cloud AutoML API, and I've been reading the documentation here: https://cloud.google.com/vision/automl/docs/reference/rest/v1beta1/projects.locations.datasets/get On the page, it says…
dooder
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Cloud AutoML API has not been used in project 618104708054 before or it is disabled

I am trying to build a .NET small app to predict images using my model that was trianed on AutoML. But I am getting this error: Cloud AutoML API has not been used in project 618104708054 before or it is disabled. Enable it by visiting …
user1623454
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Implementation AutoML Vision for OCR application

I’m looking for help to implement - using google AÍ tools ( Vision AutoML and others - s tep by step , an aplication on line / API to read Product labels, including Nutrition facts table : 1- Pre-processing images to resize and rotation if…
RALPH ARAUJO
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"(403) Forbidden" when trying to send an image to my custom AutoML model via the REST API

I am having issues with implementing a custom AutoML model in a .NET web app that allows sending images via the REST API to be recognized. I keep getting errors. The remote server returned an error: (403) Forbidden. I have an image and converted…
user3636407
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Vague error when importing CSV file for Google AutoML Vision

When adding an image list to a dataset, I receive the following error: "Incorrect padding. The transaction could not be committed. Please try again." The image list contains 410k items and takes 15+ minutes to import, so just trying again…
awsgeek
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Google AutoML Importing text items very slow

I'm importing text items to Google's AutoML. Each row contains around 5000 characters and I'm adding 70K of these rows. This is a multi-label data set. There is no progress bar or indication of how long this process will take. Its been running…
Trav
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How to create a Single AUC, Confusion matrix, and ROC curve in H2O AutoML Python

I am using H2o's Auto ML package and would like to know if it is possible to get a single AUC, Confusion Matrix and ROC curve for all the methods combined. For instance I have AUC values for the individual models GLM, Stacked Ensemble, deep learning…
Kevin
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sort_metric argument in h2o.automl does not get used

I'm trying to run an h2o automl model for a multi class problem in the following manner h2o.automl(y = result, training_frame = train, max_runtime_secs = 30, sort_metric = "logloss") But I end up getting…
elvikingo
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Cross validation in auto-sklearn

I'm trying to build a prediction model in auto-sklearn with 10 fold cross validation. My dataset has about 40k rows and 80 features. Here is my code (where X are my features and y is the continuous outcome variable): automl =…
Yara
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h2o automl leaderboard frame not working in R

I am currently using h2o automl feature in R environment and I see the leaderboard showing up none in the logs even though I have provided the dataset to it. Appreciate if someone can answer
rknimmakayala
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h2o autoML track convergence

The autoML stops on a clock. I compared two auto-ML's where one used a subset of what the other had to make the same predictions, and at 3600 seconds runtime the fuller model looked better. I repeated this with a 5000 second re-run, and the subset…
EngrStudent
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Reduce auto-sklearn model size

I am using auto-sklearn to generate a regression model based on some data. After running for several hours, I save the generated model to disk for later use with joblib and the generated file has a size of 2.5 GiB. How can I reduce the file size of…
Hawkings
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Importing H2OAutoML library - 'No module named AutoML'

any one else unable to load the H2OAutoML library in python2.7 and/or 3.6? I've tried these (alternatives) as per the example on http://h2o-release.s3.amazonaws.com/h2o/master/3888/docs-website/h2o-docs/automl.html, however neither imports…
Davio
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