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Questions tagged [hyperopt]

Hyperopt is a Python library for serial and parallel optimization over awkward search spaces, which may include real-valued, discrete, and conditional dimensions

Resources and Tutorials:

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PySpark fails evaluating keras neural networks within hyperopt SparkTrials

I have some strange bugg that I have been stuck on for a few days and can't get it solved. My goal is to evaluate several keras nns within hyperopt. For boosting the evaluation process I use SparkTrails (also see…
LockeDerBoss
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Nested parameters in hyperopt 0.2.4

I wanted to do a search of parameters in which one of them is dependent on the other, very similar to what is described on this StackOverflow question, but when I run I get the issue below: TypeError: len of pyll.Apply either undefined or…
João Areias
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When we specify "--algorithms=sgd" in vw-hyperopt, does it run with adaptive, normalised and invariant updates?

the confusion is because when we specify --sgd in vw command line, it runs classic sgd, without adaptive, normalised and invariant updates. So, when we specify algorithm as sgd in vw-hyperopt, does it run as classic or with special updates? Is it…
sameershah141
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Error in Bayesian optimization using Hyperopt

I am getting value error in the following code when I am using Hyperopt for Bayesian Optimization : from hpsklearn import HyperoptEstimator, any_classifier from sklearn.datasets import fetch_openml from hyperopt import tpe import numpy as np #…
Shaurya Sheth
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How could I use hyperopt to optimize a vector that sums up to 1?

I am using hyperopt to search for the hyperparameters of the algorithm. There are three numbers to be optimized: w1, w2 and w3. The three numbers should satisfy the condition that s1+w2+w3=1. I defined search space like this: space = { 'w1':…
CoinCheung
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How to perform nested Cross Validation (LightGBM Regression) with Bayesian Hyperparameter optimization and TimeSeriesSplit?

I want to do predictions with a Regression model. I try to optimize my LightGBM model for the best hyperparameters while aiming for the lowest generalization RMSE score without overfitting/underfitting. All examples I've seen use Classifications and…
Vega
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read hyperopt parameters from json

I want to read hyperopt parameters from a JSON file. My JSON file would be like: [ { "id": "121", "model": [ { "model_name": "power", "estimator_type": [ { …
George
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AttributeError: 'int' object has no attribute 'randint' in Hyperopt

I'm trying to adjust a random forest as a Hyperopt, but this error is occurring and I can't solve it
Felipe Oliveira
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Why hyperopt is giving the best loss Nan while operating in Random Forest?

I am solving a Kaggle Problem: https://www.kaggle.com/c/forest-cover-type-prediction/data I used hyperopt to find optimal hyperparameter for Random Forest. But I am stuck here, as for almost most of the iteration it is giving best loss: Nan. My…
user9614033
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XGBoost using Hyperopt. Facing issues while Hyper-Parameter Tuning

I am trying to Hyper-Parameter Tune XGBoostClassifier using Hyperopt. But I am facing a error. Please find below the code that I am using and the error as well:- Step_1: Objective Function import csv from hyperopt import STATUS_OK from timeit import…
Aditya Das
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Error when running hyperopt fmin function (TypeError: cannot convert dictionary update sequence element #0 to a sequence)

So I am using hyperopt, the fmin function to optimize hyperparameters. However, for some reason I am getting this error: TypeError: cannot convert dictionary update sequence element #0 to a sequence The code I have is like this: fn =…
Thomas Kok
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hyperopt - is it possible to get the current value of its search space?

I am wondering if there is a way to access the current value chosen by hyperopt for parameters? I would like to use its selected value in a learning rate callback function for xgboost. from hyperopt import hp param = {'eta' : hp.uniform('eta', 0.01,…
John Stud
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only integer scalar arrays can be converted to a scalar index error in Hyperopt

I am trying to optimize a set of parameters using the Hyperopt library. I implemented the code following this tutorial. Everything works fine as long as I put max_evals to less than 30 runs. When I put max_evals to 30 I get the bellow error at the…
Suleka_28
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how to extract selected hyperparameter from hyperopt hp.choice?

I'm using hyperopt to find the optimal hyperparameters to a catboost regressor. I'm following this guide. the relevant part is: ctb_reg_params = { 'learning_rate': hp.choice('learning_rate', np.arange(0.05, 0.31,…
ihadanny
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Ray Tune ; combine population based training schedule with Hyperopt

Are Population Based Training (PBT) and HyperOpt Search combinable ? The AsyncHyperBandScheduler is used in the Hyperopt Example of ray.tune Here config set some parameters for the run() function config = { "num_samples": 10 if args.smoke_test…
Alexander Vocaet
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