Data Science Stack Exchange
Data Science Stack Exchange

Questions tagged [automl]

19 questions
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2 answers

Google NLP AutoML

I am doing research for Google NLP AutoML, What methodologies they have used, techniques, models, feature selection, hyper parameter optimization, etc. I could not find any paper on how google built their NLP AutoML. Can anyone guide me on that? how…
asmgx
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Auto ML vs Manual ML for a project

I recently was introduced to a AUTO ML library based on genetic programming called tpot. Thanks to @Noah Weber. I have few questions 1) When we have AUTO ML, why do people usually spend time on Feature selection or preprocessing etc? I mean they do…
The Great
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No Recall metric in MLEval library in Python

I am exploring different AutoML libraries in Python. Found MLEval from Alteryx. When I try to use this tutorial, I have an interesting result. I was trying to add recall to my metrics, but this library does not have…
Anakin Skywalker
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3 answers

Predict next integer in sequence using ML.NET

Given a lengthy sequence of integers in the range of 0-1 I would like to be able to predict the next likely integer based on the previous sequence. Example dataset: 1 1 1 0 0 0 0 1 1 0 0 1 0 1 1 0 0 0 1 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 1 1 1 1 0…
keithl8041
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lags and rolling window in Azure AutoML Time series forecasting

I'm following this tutorial to try Machine Learning AutoML Forecasting. In the several parameters we can submit to the AutoML experiment, we have these ones: target_logs; target_rolling_window_size; Can you explain with an example how the several…
xcsob
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1 answer

Incremental training and Auto Machine Learning for big datasets

I built a NLP sentence classifier, which uses vectors from word embedding as features. Training dataset is big (100k sentences). Every sentence has 930 features. I found the best model using an auto machine learning library (auto-sklearn); the…
Stefano Fiorucci - anakin87
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Retraining a text classifier with new data that has new labels

I have a text classifier model built on AutoML Natural Language. It currently does a great job classifying text into the set of labels it was trained for. (One of the labels it is trained for is "Uncategorized") Now, I'd like to make the model to…
AnandS
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Azure AutoML: decimal numbers in confusion matrix

I have been running Azure AutoML on a binary classification task. When I visualize the performance and the confusion matrix in particular, I observe the following: How can I have decimal numbers in the raw confusion matrix? As per the…
jerorx
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Best way to represent a version feature based on percentiles

We're training a binary classifier in AutoML, and one of the features consist of browser versions. Currently these versions are provided "normalized" to the model, according to the percentile of the browser the current observation falls into. For…
Gabriel Ballesteros
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Automatic detection of ML problem type: Regression or Classification

I am trying to design an algorithm that based on training data automatically detects ML problem type: Regression or Classification. There is no need to say that it is impossible to design such an algorithm that will be correct in 100% of cases. The…
dokondr
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Azure ML / AutoML: problem with univariate time series forecasting

I'm having troubles generating univariate time series forecasts with Azure Automated Machine Learning (I know...). What I'm doing So I have about 5 years worth of monthly observations in a dataframe that looks like…
movingabout
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2 answers

How to train a model to predict if 2 samples refer to the same thing?

I have 2 ddbb with around 60,000 samples each. Both have the same features (same column names) that represent particular things with text or categories (turned into numbers). Each sample in a ddbb is assumed to refer to a different particular thing.…
Martin
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1 answer

Azure automl time series forecasting error

I'm using Microsoft Azure automl to try and generate models for time series forecasting but I keep getting an error: Error: Could not determine the data set time frequency. All series in the data set have one row and no freq parameter was provided.…
YJay
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H20 AutoML Parallelism

Does H2O AutoML parallelize different models when launched via train ? (or you should specify it somehow?) If so, can you show an example ?
Master_Sniffer
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how to define search space over hyperparameters automatically?

I'm trying to automate retrain steps of our ML models. My aim is hyper-parameter tuning with current data (newer performance window) using same algorithm and features on production environment. Imagine that it works periodically (like once per 6…
Atacan
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