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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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AutoKeras Image Classifier: Generator not working and plt.show() gives empty image

I am trying to build an image classification program using AutoKeras, Tensorflow, and Pandas. The code is as folllows: from keras_preprocessing.image import ImageDataGenerator import autokeras as ak import pandas as pd import matplotlib.pyplot as…
Victor Simon
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How to make Automl model with Healthcare Entity extraction as base model?

I am facing a problem while making a custom model with Automl. I am supplying Automl with JSONL training data with label DISEASE. My service account has the permission healthcare.nlpservce.analyzeEntities and also before Start training i am choosing…
lorem_bacon
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Google Cloud Automl Object Detection Training

I'm trying to train an Object Detection model with Google Cloud's Automl service. I have loaded my dataset and I get a message: You have enough images to start training So I set up my training on the dataset and a few minutes later I get an error…
shortcipher3
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preprocessing methods of H2O

What preprocessing methods are used in the autoML pipeline? It would be nice to have a brief summary of all these steps in the doc. By preprocessing, I mean: one-hot-encoding, normalization, imputation, etc. Thank you, Yassine
Yass Light
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NullPointerException when training with h2o's AutoML

I've been using h2o for about 3 years and first time these kind of error happens to me. I can't share a reproducible example because I'm using sensitive data but the dataset contains about 20K observations, R version 4.0.2, macOS Catalina 10.15.6,…
Bernardo
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Unable to feed JSONL data to AutoML NLP - Entity Extraction

So, I'm trying to implement Entity Extraction for AutoML and I'm a complete beginner. My CSV file upload is successful but my JSONL isn't being parsed correctly. Where am I going wrong? The starting line of the file contains all the training data. I…
Arjun Ram
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Is it possible to continuously train AutoML Natural language model on google cloud to improve performance automatically?

I am using an AutoML Natural Language model to classify articles into different categories on Google cloud. Is there a way to continuously train this model with new data so that it can improve itself? Or do I have to train a new model after some…
Shubham Sharma
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Error: google cloud AutoML cannot import library

On google cloud, there are 2 parts done: 1- AutoML model to predict XOR gate output, data is trained, model is built and deployed and tested successfully. 2- To use this model, I created a new google python function, once I add the line: from…
al_qaysee
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ML.NET Forecasting Light Switches on and off using Time Series or Regression once a week

Question: I have data that has light IDs and when a light of a particular ID is switched on the data is captured. Now the next step is to try and figure out which light will be on for a particular week in the future. Can anyone let me know how this…
Deeman
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AutoML with MLOps leading to me an error - Message: Could not locate the provided model_path

I am try to train a model using automl feature of Azure using a simple dataset which is working fine when doing it manually or via notebook but not working in azure devops pipeline. Created a azure devops pipeline with required service connection to…
Ajay Singh
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status "Preparing" for more than 2 hours for 350MB file

I have submitted autoML run on remote compute (Standard_D12_v2 - 4 node cluster 28GB, 4 cores each) My input file is roughly 350 MB. the status is "Preparing" for more than 2 hours. And then it fails. User error: Run timed out. No model completed…
maswadkar
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H2O asfactor() for new data

I am using hf[[x1, x2]] = hf[[x1, x2]].asfactor() to transform X1 and X2 to categorical variables and then train a classification model with automl(). Now for the new and unseen data, how should I convert the data? If I simply use the above method,…
Phoenix
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GCP AutoML Vision - How to count the number of annotations each of my team members makes in GCP AutoML Vision Annotation Tool using the Web UI?

We are automating the process of our deep learning project. Images are automatically uploaded to a dataset in AutoML Vision (Object detection) in the Google Cloud Platform. We have a couple of team members who regularly annotate the uploaded images…
Caglar Uslu
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What meta learners are used by h2o.automl() to build the ensembles?

I am wondering what meta learners are used by h2o.automl() to build the ensembles. So far all the ensembles I've seen were GLMs. Is it because h2o.automl() uses only glm as the meta learner or due to the limited number of base models (25 -50 with my…
soniCYouth
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I can't programmatically get the model id from google-cloud-automl with node.js client library

How can I get the modelId from the getOperation response? When I run getOperation() function using the operationId, the response does not contain the modelId, even though done is true. I have tried everything from this question: How to…
lisen kaci
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