Comments (15)
ChristoferNal
commented on July 24, 2024
2
@tkrishp @zpardos I have the same issue with hyperopt-0.0.3.dev0
Have you found any solution?
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tulasikparadarami
commented on July 24, 2024
1
I'm having same problem when running the example provided in Hyperas (as pointed out @zpardos ). Does anyone know how to fix it?
Traceback (most recent call last):
File "grid_search.py", line 77, in <module>
trials=Trials())
File "/opt/anaconda2/envs/thesis/lib/python2.7/site-packages/hyperas/optim.py", line 31, in minimize
best_run = base_minimizer(model, data, algo, max_evals, trials, rseed)
File "/opt/anaconda2/envs/thesis/lib/python2.7/site-packages/hyperas/optim.py", line 111, in base_minimizer
rseed=rseed)
TypeError: fmin() got an unexpected keyword argument 'rseed'
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bjkomer
commented on July 24, 2024
It looks like hyperopt-sklearn is expecting a newer version of hyperopt, and the version that pip installs by default is not new enough. A workaround would be to install the latest version of hyperopt from source.
Something like this should do the trick:
git clone https://github.com/hyperopt/hyperopt.git
cd hyperopt
pip install -e .
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Data-drone
commented on July 24, 2024
I tried this and I get an issue with distribute. I get:
Obtaining file:///home/vagrant/hyperopt
Running setup.py (path:/home/vagrant/hyperopt/setup.py) egg_info for package from file:///home/vagrant/hyperopt
Extracting in /tmp/tmpSMITP1
Now working in /tmp/tmpSMITP1/distribute-0.6.38
Building a Distribute egg in /home/vagrant/hyperopt
Traceback (most recent call last):
File "setup.py", line 248, in <module>
scripts = scripts,
File "/usr/lib/python2.7/distutils/core.py", line 111, in setup
_setup_distribution = dist = klass(attrs)
File "/tmp/tmpSMITP1/distribute-0.6.38/setuptools/dist.py", line 225, in __init__
_Distribution.__init__(self,attrs)
File "/usr/lib/python2.7/distutils/dist.py", line 287, in __init__
self.finalize_options()
File "/tmp/tmpSMITP1/distribute-0.6.38/setuptools/dist.py", line 257, in finalize_options
ep.require(installer=self.fetch_build_egg)
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2027, in require
working_set.resolve(self.dist.requires(self.extras),env,installer))
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2237, in requires
dm = self._dep_map
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2466, in _dep_map
self.__dep_map = self._compute_dependencies()
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2499, in _compute_dependencies
common = frozenset(reqs_for_extra(None))
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2496, in reqs_for_extra
if req.marker_fn(override={'extra':extra}):
File "/tmp/tmpSMITP1/distribute-0.6.38/_markerlib/markers.py", line 109, in marker_fn
return eval(compiled_marker, environment)
File "<environment marker>", line 1, in <module>
NameError: name 'sys_platform' is not defined
/home/vagrant/hyperopt/distribute-0.6.38-py2.7.egg
Traceback (most recent call last):
File "<string>", line 17, in <module>
File "/home/vagrant/hyperopt/setup.py", line 37, in <module>
distribute_setup.use_setuptools()
File "distribute_setup.py", line 152, in use_setuptools
return _do_download(version, download_base, to_dir, download_delay)
File "distribute_setup.py", line 132, in _do_download
_build_egg(egg, tarball, to_dir)
File "distribute_setup.py", line 123, in _build_egg
raise IOError('Could not build the egg.')
IOError: Could not build the egg.
Complete output from command python setup.py egg_info:
Extracting in /tmp/tmpSMITP1
Now working in /tmp/tmpSMITP1/distribute-0.6.38
Building a Distribute egg in /home/vagrant/hyperopt
Traceback (most recent call last):
File "setup.py", line 248, in <module>
scripts = scripts,
File "/usr/lib/python2.7/distutils/core.py", line 111, in setup
_setup_distribution = dist = klass(attrs)
File "/tmp/tmpSMITP1/distribute-0.6.38/setuptools/dist.py", line 225, in __init__
_Distribution.__init__(self,attrs)
File "/usr/lib/python2.7/distutils/dist.py", line 287, in __init__
self.finalize_options()
File "/tmp/tmpSMITP1/distribute-0.6.38/setuptools/dist.py", line 257, in finalize_options
ep.require(installer=self.fetch_build_egg)
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2027, in require
working_set.resolve(self.dist.requires(self.extras),env,installer))
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2237, in requires
dm = self._dep_map
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2466, in _dep_map
self.__dep_map = self._compute_dependencies()
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2499, in _compute_dependencies
common = frozenset(reqs_for_extra(None))
File "/tmp/tmpSMITP1/distribute-0.6.38/pkg_resources.py", line 2496, in reqs_for_extra
if req.marker_fn(override={'extra':extra}):
File "/tmp/tmpSMITP1/distribute-0.6.38/_markerlib/markers.py", line 109, in marker_fn
return eval(compiled_marker, environment)
File "<environment marker>", line 1, in <module>
NameError: name 'sys_platform' is not defined
/home/vagrant/hyperopt/distribute-0.6.38-py2.7.egg
Traceback (most recent call last):
File "<string>", line 17, in <module>
File "/home/vagrant/hyperopt/setup.py", line 37, in <module>
distribute_setup.use_setuptools()
File "distribute_setup.py", line 152, in use_setuptools
return _do_download(version, download_base, to_dir, download_delay)
File "distribute_setup.py", line 132, in _do_download
_build_egg(egg, tarball, to_dir)
File "distribute_setup.py", line 123, in _build_egg
raise IOError('Could not build the egg.')
IOError: Could not build the egg.
----------------------------------------
Cleaning up...
Command python setup.py egg_info failed with error code 1 in /home/vagrant/hyperopt
Storing debug log for failure in /home/vagrant/.pip/pip.log`
Any ideas?
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lesson1221
commented on July 24, 2024
I met the same rstate problem. It seems that the function fmin() in lastest version of hyperopt has some conflict with fmin() in hyperopt-sklearn. Is there any way to solve this problem? Thanks if someone can help me
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nipunsadvilkar
commented on July 24, 2024
Facing similar issue
TypeError: fmin() got an unexpected keyword argument 'rstate'
Any solution for this?
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bjkomer
commented on July 24, 2024
I've started working on a fix for this. hyperopt-sklearn is only compatible with newer versions of hyperopt from github, and not the older on that is on PyPI. I'm hoping to get in a workaround to make it backwards compatible, but it looks like there are more issues than just the arguments not matching up.
The easiest thing to do in the meantime would be to install hyperopt from github and use that version.
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bjkomer
commented on July 24, 2024
@crazy449 I'm seeing a similar error when I try to install using distrubute_setup.py on hyperopt
I'm not familiar with distribute, so I don't know what's going on there. Do other methods of installation work for you?
I commonly do (from within the hyperopt folder): pip install -e . and I think python setup.py install may work as well
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zpardos
commented on July 24, 2024
running the Hyperas example (https://github.com/maxpumperla/hyperas), I get a very similar error. I don't think Hyperas uses hyperopt-sklearn, so it looks to be an issue with hyperopt.
Traceback (most recent call last):
File "hyper_example.py", line 77, in
trials=Trials())
File "/usr/local/lib/python3.5/dist-packages/hyperas/optim.py", line 31, in minimize
best_run = base_minimizer(model, data, algo, max_evals, trials, rseed)
File "/usr/local/lib/python3.5/dist-packages/hyperas/optim.py", line 111, in base_minimizer
rseed=rseed)
TypeError: fmin() got an unexpected keyword argument 'rseed'
I'm using the github version of hyperopt (0.0.3dev)
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jaganadhg
commented on July 24, 2024
The ISSUE is still there
C:\Users\jaganadhg\AppData\Local\Continuum\Anaconda2\lib\site-packages\hpsklearn\estimator.pyc in fit_iter(self, X, y, EX_list, valid_size, n_folds, cv_shuffle, random_state, weights, increment)
582 # so we notice them.
583 catch_eval_exceptions=False,
--> 584 return_argmin=False, # -- in case no success so far
585 )
586
TypeError: fmin() got an unexpected keyword argument 'rstate'
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bjkomer
commented on July 24, 2024
This should hopefully be working now. hyperopt-sklearn will now check to see if you are using an older version of hyperopt and use the correct parameter names for it.
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ehknight
commented on July 24, 2024
@tkrishp @zpardos bump. Any movement on this?
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Benjamin-Lee
commented on July 24, 2024
Still having the issue on with version 0.2.
Traceback (most recent call last):
File "basic_hyperas_test.py", line 27, in <module>
trials=Trials())
File "/usr/local/lib/python2.7/dist-packages/hyperas/optim.py", line 31, in minimize
best_run = base_minimizer(model, data, algo, max_evals, trials, rseed)
File "/usr/local/lib/python2.7/dist-packages/hyperas/optim.py", line 111, in base_minimizer
rseed=rseed)
TypeError: fmin() got an unexpected keyword argument 'rseed'
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iyliamjd
commented on July 24, 2024
Still having the issue on with version 0.2.
Traceback (most recent call last): File "basic_hyperas_test.py", line 27, in <module> trials=Trials()) File "/usr/local/lib/python2.7/dist-packages/hyperas/optim.py", line 31, in minimize best_run = base_minimizer(model, data, algo, max_evals, trials, rseed) File "/usr/local/lib/python2.7/dist-packages/hyperas/optim.py", line 111, in base_minimizer rseed=rseed) TypeError: fmin() got an unexpected keyword argument 'rseed'
I also got this issue, have anyone solve it? Because when I change to randomState(seed). got a lot untrace errors
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bjkomer
commented on July 24, 2024
@Benjamin-Lee @iyliamjd from the trace of your error the issue is from the package hyperas and not hyperopt-sklearn. The core of the issue is an older version of hyperopt had a parameter called rseed but that has been replaced with rstate (this change was made about 6 years ago).
hyperopt-sklearn has been made to be backwards compatible with both version, and it looks like hyperas has as well. Likely you just need to update to the latest versions of these packages from github.
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