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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Can Google's AutoML export trained models for offline inference?

AutoML seems great. One big question is that - can we export the trained model for offline inference, such as with tensorflow or tensoflow lite?
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Is it possible to get a feature importance plot from a h2o.automl model?

I have a binary classification problem, and I am using "h2o.automl" to obtain a model. Is it possible to obtain a plot of the importances of my dataset features from the "h2o.automl" model? A pointer to some python 3 code would be much…
user274610
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H2O AutoML error Test/Validation dataset has a non-categorical column which is categorical in the training data" on predict

I have trained and saved my H2O AutoML model. after reloading, while I am using predict method, I am getting below error: java.lang.IllegalArgumentException: Test/Validation dataset has a non-categorical column 'response' which is categorical in the…
ATUL AGARWAL
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4 answers

How to find best params of leader model in automl h2o python

I trained h2o automl and got a leader model with satisfying metrics. I want to retrain the model periodically but without using checkpoint. So, I guess all I need are the best parameters of the leader model to run it manually. I know…
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1 answer

Tensorflow automl model in react

I'm trying to move a tensorflow model from its original html into a react app (built with create-react-app). My App.js looks like this: import logo from './logo.svg'; import * as tf from "@tensorflow/tfjs"; // import { loadImageclassification } from…
Lyovin K.
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google.api_core.exceptions.PermissionDenied: 403 The caller does not have permission

I have used AutoMl Vision api from gcp and trained it with my custom dataset. I'm able to get predict the data GCP console but not able to store the predicted output. For the purpose of storing the predicted data output and to use my local data for…
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2 answers

No module named 'automl' when unpickle auto-trained model

I'm trying to reproduce 2 tutorials below using my own dataset instead of MNIST…
siv7qVI4
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How to fetch details of non-leader models generated by h2o automl?

after running automl (classification of 3 classes), I can see a list of models as follows: model_id mean_per_class_error StackedEnsemble_BestOfFamily_0_AutoML_20180420_174925 …
slowD
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Apply math operation dynamically between two nn.Modules or loss functions

I would like to apply math operations dynamically between two loss functions or nn.Modules or python objects. It could be also treated as a problem to generate dynamic graphs in pytorch. For example: In the below example, I would like to add two…
Dan
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The shape of dict['ToFloat'] provided in model.execute(dict) must be []

** I'M AWARE OF SIMILAR QUESTIONS!! ** My question is for my particular situation... I used Google Vision to train my own model to detect custom objects. I've come across similar errors about shape in the past and I resolved them by reshaping my…
5
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1 answer

How to generate access token in Java for Google AutoML Vision API without gcloud?

I am making an Android App that will utilize the Google AutoML Vision API. I am looking for a way to get a permanent access token or generate them in code so that I do not need to use gcloud everytime I want to use my app. How would I go about doing…
CowLord
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2 answers

How to handle a skewed response in H2O algorithms

In my problem dataset response variable is extremely skewed to the left. I have tried to fit the model with h2o.randomForest() and h2o.gbm() as below. I can give tune min_split_improvement and min_rows to avoid overfitting in these two cases. But…
deepAgrawal
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Auto-Machine-Learning python equivalent code

Is there any way to extract the auto generated machine learning pipeline in a standalone python script from auto-sklearn? Here is a sample code using auto-sklearn: import autosklearn.classification import sklearn.cross_validation import…
valentin
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Using a model created from python in ML.NET

We have a scenario where we need to use Machine learning algorithm to predict a value. We want to do it in ML.NET because of some issues. We tried AutoML in a project and trained it with almost 80k records of data. We trained the data for more than…
4
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What Is the correct file format content for Google Cloud Platform Batch AutoML Text Classification input data?

I'm trying to run a Google Cloud Platform AutoML Batch text classification for a recently successfully trained model. I've prepared the input data for batch classificatino based on the documentation but I always got this error BatchPrediction could…
Daniel Santos
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