Stack Overflow
Stack Overflow

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
3
votes
1 answer

How to change prediction threshold using Google AutoML?

After creating Model in google AutoML we can use the provided python code to make a prediction. Here's the code : import sys from google.cloud import automl_v1beta1 from google.cloud.automl_v1beta1.proto import service_pb2 def…
gameon67
  • 3,981
  • 5
  • 35
  • 61
3
votes
1 answer

how to print variable importance of all the models in the leaderboard of h2o.automl in r

I am using automl() function of H2o package in R for regression. Consider I am using the name "aml" for building models. aml <- h2o.automl(x=x, y=y, training_frame = train_set, max_models = 20, seed = 1, …
Ash
  • 43
  • 4
3
votes
4 answers

Return Score from AutoML PredictResponse Object

I'm trying to pull the score values out of my google automl PredictResponse Object. the object returned from the API looks as follows: payload { classification { score: 0.989063024521 } display_name: "No" } payload { classification { …
John Berardi
  • 31
  • 1
3
votes
1 answer

Does google automl do image augmentation automatically?

I am using automl from google using a custom dataset. The dataset consists of images collected by me. However, manually labelling the image take some time, so I would like to enlarge the dataset by image augmentation, such as rotation and…
Brian Chiu
  • 33
  • 3
3
votes
1 answer

Empty list returned when accessing automl leader via @leader@model

Running h2o.automl() returns a single model in leaderboard; however, when trying to access the actual model via @leader@model, the following error ensues: Error in is.H2OFrame(x) : trying to get slot "metrics" from an object of a basic class…
urganmax
  • 88
  • 1
  • 6
3
votes
1 answer

Mobile App to call the AutoML Vision model prediction

Look like I am the first poster here. I am an app developer on Android/iOS and have been waiting to see Cloud AutoML Vision for public release. I just play around the console and build a model with 2 labels. However, the implementation require Rest…
Simon Ho
  • 588
  • 1
  • 8
  • 21
3
votes
0 answers

Run Multiple Keras Models In A Cluster Like OAR2

I want to build an algorithm like automl, but, don't know how to train multiple keras models simultaneously in a cluster like OAR2. Assume that i have two different keras models like this : model1 = Sequential() model1.add(Conv2D(32, kernel_size=(3,…
Erfan Mhi
  • 95
  • 1
  • 1
  • 8
3
votes
0 answers

Python SMAC reasonable runcount_limit value for mini-batch mode

I'm trying to use SMAC v3 for hyperparameter optimization. I want to limit the optimization process with a fixed amount of the target function (tae_runner) computations, and run it in "mini-batch" mode: First, I run SMAC with some budget, then I…
Viacheslav Shalamov
  • 4,149
  • 6
  • 44
  • 66
2
votes
1 answer

difference between stack, ensemble & stack ensemble steps in MLJAR

While experimenting with MLJar, I figured out in 'Compete' mode it uses the below 3 steps towards the end of the training: stack ensemble stack ensemble As stacking is a type of ensemble learning, how are the last 3 steps different? I tried reading…
Mehul Gupta
  • 1,829
  • 3
  • 17
  • 33
2
votes
1 answer

How to export a Google AutoML Text Classification model?

I just finished training my AutoML Text Classification model (single-label). I was planning to run a Batch Prediction using the console, but I just found out how expensive that will be because I have over 300,000 text records to analyze. So now I…
TinyTiger
  • 1,801
  • 7
  • 47
  • 92
2
votes
0 answers

Azure autoML weight columns

I am using autoML for training purposes, however my dataset is very imbalanced. It is a multiclass task with 5 classes and I want to minimize this effect when training. I have verified the documentation and it seems autoML support the creation of a…
Mariane Santos
  • 23
  • 4
2
votes
2 answers

While using AutoML from EvalML getting error AttributeError: 'DataTable' object has no attribute 'to_series'

I am running eval.automl on a data, made a class column as below: df.loc[(df.quality<6), 'flag_class'] = 1 df.loc[(df.quality==6), 'flag_class'] = 2 df.loc[(df.quality>6), 'flag_class'] = 3 then splitting it as below: X = df[['several columns…
Rajendra Kumar
  • 21
  • 1
2
votes
2 answers

Python => AutoML: XGBoost is not available; skipping it

I am getting this warning when running h2o AutoML. I have version 3.32.1.2 installed, and running it on python 3.8. AutoML progress: | 11:30:52.773: AutoML: XGBoost is not available; skipping it. CODE: import h2o h2o.init() h2o_df =…
Leo Barbosa
  • 31
  • 4
2
votes
0 answers

H2o AutoML in R: XGBoost is not available; skipping it

I'm trying to run H2o's automl and I want to see the results of XGboost in automl. When I'm trying to run this code: aml1 <- h2o.automl(y = y, x = x, training_frame = train, keep_cross_validation_models = F, seed = 123) I'm getting this…
sm925
  • 2,648
  • 1
  • 16
  • 28
2
votes
1 answer

AutoML select the model manually

It is been a while I am looking for the best pipeline to do some classification using AutoML. But I want to know if it is possible to select the model manually and then just optimize its hyperparameters. For example, I want to just optimize SVM's…
Mahdi Torabi
  • 31
  • 1
1 2
3
…
28 29