job exception: __init__() got an unexpected keyword argument 'presort'

[muratonuryildirim]

Hi,

I am just running your following sample code:

from hpsklearn import HyperoptEstimator, any_classifier, any_preprocessing
from sklearn.datasets import load_iris
from hyperopt import tpe
import numpy as np

iris = load_iris()

X = iris.data
y = iris.target

test_size = int(0.2 * len(y))
np.random.seed(13)
indices = np.random.permutation(len(X))

X_train = X[indices[:-test_size]]
y_train = y[indices[:-test_size]]
X_test = X[indices[-test_size:]]
y_test = y[indices[-test_size:]]

estim = HyperoptEstimator(classifier=any_classifier('my_clf'),
preprocessing=any_preprocessing('my_pre'),
algo=tpe.suggest,
max_evals=100,
trial_timeout=120)

estim.fit(X_train, y_train)

print(estim.score(X_test, y_test))
print(estim.best_model())

However, I receive the following error:
job exception: init() got an unexpected keyword argument 'presort'
init() got an unexpected keyword argument 'presort'

Could you please help me about it?

[Duonghailee]

Hi, have you resolved this issue?

[sergedegosson70]

@Duonghailee Have you managed to solve it? I got the same issue.

[Duonghailee]

@Duonghailee Have you managed to solve it? I got the same issue.

You can install hyper-opt from this version: pip install git+https://github.com/hyperopt/hyperopt-sklearn@fd718c44fc440bd6e2718ec1442b1af58cafcb18 , it should work.

[zioalex]

Did anybody solved this?
The only way I found to solve it is with scikit-learn==0.23