Comments (2)
Hey there!
So your problem is interesting and it revolves around the change in NumPy v1.16 where np.random.RandomState
was deprecated in favour of np.random.Generator
.
As of this moment, hyperopt-sklearn and hyperopt have edited their code to work with this change.
However, Hyperas has not.
So to solve your problem, I think it's easiest if you downgraded hyperopt to v0.2.5 and numpy to before v1.16
If you also want to use hyperopt-sklearn you can use v0.03 and sklearn v0.23.0
I hope this fixes your problem. If it doesn't, I would suggest making an issue at hyperas.
from hyperopt-sklearn.
Hey there! So your problem is interesting and it revolves around the change in NumPy v1.16 where
np.random.RandomState
was deprecated in favour ofnp.random.Generator
.As of this moment, hyperopt-sklearn and hyperopt have edited their code to work with this change. However, Hyperas has not.
So to solve your problem, I think it's easiest if you downgraded hyperopt to v0.2.5 and numpy to before v1.16 If you also want to use hyperopt-sklearn you can use v0.03 and sklearn v0.23.0
I hope this fixes your problem. If it doesn't, I would suggest making an issue at hyperas.
turn out it's an issue at [hyperas]! thank you! https://github.com/maxpumperla/hyperas/issues/284#issuecomment-1167058879
from hyperopt-sklearn.
Related Issues (20)
- install requirment HOT 2
- max_depth=None setting overridden in components._trees_hp_space HOT 4
- Update pypi project page HOT 1
- No module named "hpsklearn.estimator" HOT 15
- AttributeError: module 'hyperopt' has no attribute 'pyll' HOT 1
- Any Advice on Avoiding 'NaN' errors HOT 10
- distribute via gh vs pypi? HOT 1
- Catboost classification and regression HOT 2
- InvalidParameterError, possible package version issue? HOT 2
- Add link to license in readme
- Hyperopt with multioutput
- Seeking advice on adapting a normal sklearn pipeline/search space to Hyperopt
- InvalidParameterError when running the classifier HOT 2
- Hyperopt for linear_svc provided sub optimal hyperparameters than the default parameters of scikit-learn. HOT 2
- Add LICENSE to PyPi sdist HOT 1
- gradient_boosting_regressor loss HOT 1
- ImportError: No module named xgboost HOT 1
- Iris and MNIST example don't behave as in the comment and give error
- error:The "freeze_support()" line can be omitted if the program is not going to be frozen to produce an executable.
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from hyperopt-sklearn.