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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.

434 questions
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"Type" of the feature in vertex AI classification model shows differently between the model and the deployment

When i train an AutoML model in Vertex AI, the type of the feature is "numeric", but when i deploy the model, the type is showing as "text" and the model expects a text value to be passed for prediction. In this case, i created a dataset with {time…
Krishna
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AutoML H2O gives multinomial result instead of binomial

I am trying to proccess the dataset kr-vs-kp using AutoML H2O. The dataset has two possible target values "nowin" and "win", so I suppose it should be binary classification. But after the model is found it turns out that H2O regarded it as a…
Vladislav Daniel Kovalevsky
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Is there a way to specify the folds (using my data) with H2O AutoML?

I'm trying to specify the folds for cross-validation in H20. I want to select the subset from the data to be a specific fold. For example, fold number 1 corresponds to my subject 1 data. The fold number 2 to my subject 2 and so on. Is there a way to…
schavez
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Download and use Azure AutoML model on local machine?

I've used Azure AutoML to build and train a classification model. However, instead of deploying the model to a web service or real-time endpoint, I'd like to be able to download the model and run it on my local machine. I've attempted to follow…
Bob
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When I import TPotClassifier, it gets an attributeError about numpy. Specifically np.float doesn't exist. What am I missing?

Here is the full error traceback: Traceback (most recent call last): File "C:\Users\david\github\beluga3\SCRATCHPAPER_6.py", line 4, in from MLModule.AI.featuretoolstpot.ml_framework import MyMLModeler File…
David
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How to fix this error for installing AutoGluon on Linux

I am trying to install AutoGluon on my university computer (Linux) I followed the instruction given here https://auto.gluon.ai/stable/index.html pip3 install -U pip pip3 install -U setuptools wheel # CPU version of pytorch has smaller footprint -…
asmgx
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How to use AutoML Library with IPU/TPU?

I want to use AutoML Library Autogluon with Paperspace IPU/Kaggle TPU instance for specification reasons (big RAM, big space, and fast training time). For IPU, when I try to fit the Autogluon predictor class, the library only recognizes the…
muazhari
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Error when trying to install Lazypredict, problem with lightgbm

I'm trying to install Lazypredict, an autoML python library, on macOS 10.14.6. Thus, I simply run "pip install lazypredict" in the terminal , it wants to install lightgbm, but always fails to do so. I think it tries to install lightgbm through pip…
Blue blues
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AutoGluon LightGBM Model Predictions Outside of AutoGluon predict()

I have a stack ensemble of bagged LightGBM models fit with AutoGluon in Python. Is there a way to perform the same inference as AutoGluon's predict() on this model, except entirely/mostly outside of AutoGluon, for example, with LightGBM's C API? I'm…
tommylicious
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Google basic Blue score

We are working on a project to train a Auto ML models for each language supported by Google. We would like to know the basic Blue score set by Google NMT for all the supported languages. (Not only Auto ML supported languages, but also the V2, V3…
Media MissionCenter
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With TfLite, the last EfficientDet op (TFLite_Detection_PostProcess) is not supported on the GPU

I'm running the TfLite model analyzer on Google Brain's AutoML EfficientDet model like so: model_path = "/content/efficientdet.tflite" tf.lite.experimental.Analyzer.analyze(model_path=model_path, gpu_compatibility=True) The analyzer output shows…
Fred
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H2O sklearn wrapper: how to get H2OAutoML object out of it and run explain()?

I am using h2o automl library from python with scikit-learn wrapper to create a pipeline for training my model. I follow this example, recommended by the official documentation: from sklearn import datasets from sklearn.feature_selection import…
Boris Burkov
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Is it possible to define a custom optimization metric for C# AutoML?

I have a simple model, public class ModelInput { [LoadColumn(0)] public float Label { get; set; } [LoadColumn(1, numberOfFeatures)] [VectorType(numberOfFeatures)] public float[] Features { get; set; } } public class…
automl3009
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Is there a way to deploy an AutoGluon pre-built model in AWS?

I have generated a model for text Prediction using AutoGluon running in a SageMaker notebook instance. I already have a model folder, containing the following files: hf_text…
André Santos
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How to validate automl result on the Databricks with a separate dataset

I was performing AutoML feature on the Databricks. But I want to validate the model on the separate dataset. Since I'm not super aware of the MLFlow, I tried to insert new dataset inside split_test_df with reading it first. But it didn't worked…
Egorsky
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