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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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HyperOptSearch and ray.tune

I'm trying to do parameter optimisation with HyperOptSearch and ray.tune. The code works with hyperopt (without tune) but I wanted it to be faster and therefore use tune. Unfortunately I could not find many examples, so I am not sure about the code.…
corianne1234
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ValueError: learning_rate must be greater than 0 but was 0

i tried to tune hyperparameters of scikit GradientBoostingRegressor model using the Hyperopt optimizer. I set search space for learning_rate parameter in the range [0.01, 1] by many ways (for example : 'learning_rate': hp.quniform('learning_rate',…
duskotovilovic
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Duplicated trials in Hyperopt library

I'm using hyperopt library to tune my model. This is my search space: search_space = { 'max_df': hp.choice('max_df', [1, 0.95, 0.9]), 'cls': hp.choice('cls', ['A', 'B', 'C', 'D', 'E', 'F', 'G', …
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Hyperas not returning best result

I'm using hyperas to optimize a function and it is not returning the best result. During the run the print out reads as follows 100%|██████████| 100/100 [7:01:47<00:00, 411.15s/it, best loss: 5.1005506645909895e-05] but afterwards when I print the…
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I have a big with the fmin() function using the hyperopt package for Xgboost

Using databricks I have basically copied and pasted the same code from here: https://www.dataiku.com/learn/guide/code/python/advanced-xgboost-tuning.html I am getting this bug: train = data.sample(frac=0.70, random_state=123) valid =…
afolabiayoola
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Use hyperopt (or hyperas) with Keras and ImageDataGenerator "flow_from_directory"

I'm making a code to train a CNN (using Keras) with an hyperparameters search using Hyperas. To train the model, I'm using flow_from_directory function of ImageDataGenerator. I read a lot of posts and documentation I found on internet but my code…
rmarion37
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Hyperopt on text train data: ValueError: zero-dimensional arrays cannot be concatenated

I'm using the hyperopt package (version 0.1.2) and I figure out the following error: Traceback (most recent call last): File "C:Users\PycharmProjects\script\my_script.py", line 34, in estim.fit(xTrain, yTrain) File…
La_haine
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Unable to run SVC no errors but it just stuck, any way to have a time out?

Unable to run code at the fit of SVC don't know what is causing the problem looking for a solution to fit in SVC with no hang or a way to time out and skip. if i do more evaluation the more likely it will hang. I have to restart Jupyter notebook…
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Hyperopt deterministic model Keras with seed

I am trying to use hyperopt for a classification deep learning model with keras: import numpy as np import tensorflow as tf import random as rn # The below is necessary for starting Numpy generated random numbers # in a well-defined initial…
iraciv94
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How to put KerasClassifier, Hyperopt and Sklearn cross-validation together

I am performing a hyperparameter tuning optimization (hyperopt) tasks with sklearn on a Keras models. I am trying to optimize KerasClassifiers using the Sklearn cross-validation, Some code follows: def create_model(): model = Sequential() …
JING
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Error while trying to tune nearest neighbors with hyperopt in python

I'm trying for the first time to tune KNeighbors parameters with hyperopt but I am getting a werid error. Not sure where is the problem but hoping for a fix. Here is more details on this issue: Code: from sklearn.neighbors import…
mj1261829
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TypeError: "set_postfix() argument after ** must be a mapping, not str" using Hyperopt

I try to run this simple example: from hyperopt import fmin, tpe, hp best = fmin( fn=lambda x: (x-1)**2, space=hp.uniform('x', -2, 2), algo=tpe.suggest, max_evals=100) print(best) But this is what i get in the…
crystal
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How to find the source of a MemoryError in Python?

I'm running a hyperparameter optimization using Hyperopt for a Neural Network. While doing so, after some iterations, I get a MemoryError exception So far, I tried clearing all variables after they had been used (assigning None or empty lists to…
bleand
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Decoding problem when using hyperas to find parameters of Keras model, maybe due to the `Trial` function in `hyperopt`

I am using hyperas module to tune my Keras model and return the error: UnicodeDecodeError: 'ascii' codec can't decode byte 0xe8 in position 4785: ordinal not in range(128) The error occurred at calling place, the syntax of trials: if __name__ ==…
Minghao
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AttributeError: 'hyperopt_estimator' object has no attribute '_best_preprocs'

I'm trying to optimize the performance of a sklearn.svm.LinearSVC using hyperopt-sklearn. I'm using the LinearSVC to predict image labels of the CIFAR-10 dataset, and am hoping through hyperopt I'll get improved performance. However, despite…
krustybek
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