Closed sivsiv7 closed 1 year ago
Hello, I just reinstalled 0.3.0
from scratch and the quickstart example runs fine. Can you share the output of pip list
or conda list
in your environment? This looks like a dependency version issue.
Hi, thank you for your fast response. My output of pip list package Version
alabaster 0.7.12 anaconda-client 1.7.2 anaconda-navigator 1.10.0 anaconda-project 0.8.3 argh 0.26.2 argon2-cffi 20.1.0 asn1crypto 1.4.0 astroid 2.4.2 astropy 4.0.2 async-generator 1.10 atomicwrites 1.4.0 attrs 20.3.0 autopep8 1.5.4 Babel 2.8.1 backcall 0.2.0 backports.functools-lru-cache 1.6.1 backports.shutil-get-terminal-size 1.0.0 backports.tempfile 1.0 backports.weakref 1.0.post1 bcrypt 3.2.0 beautifulsoup4 4.9.3 bitarray 1.6.1 bkcharts 0.2 bleach 3.2.1 bokeh 2.2.3 boto 2.49.0 Bottleneck 1.3.2 brotlipy 0.7.0 certifi 2020.6.20 cffi 1.14.3 cfgv 3.3.1 chardet 3.0.4 click 7.1.2 cloudpickle 1.6.0 clyent 1.2.2 colorama 0.4.4 comtypes 1.1.7 conda 4.9.2 conda-build 3.20.5 conda-package-handling 1.7.2 conda-verify 3.4.2 contextlib2 0.6.0.post1 cryptography 3.1.1 cycler 0.10.0 Cython 0.29.21 cytoolz 0.11.0 dask 2.30.0 decorator 4.4.2 defusedxml 0.6.0 diff-match-patch 20200713 distlib 0.3.6 distributed 2.30.1 docutils 0.16 entrypoints 0.3 et-xmlfile 1.0.1 factor-analyzer 0.4.1 fastcache 1.1.0 filelock 3.8.0 flake8 3.8.4 Flask 1.1.2 fsspec 0.8.3 future 0.18.2 gevent 20.9.0 glob2 0.7 greenlet 0.4.17 h5py 2.10.0 HeapDict 1.0.1 html5lib 1.1 identify 2.5.8 idna 2.10 imageio 2.9.0 imagesize 1.2.0 importlib-metadata 2.0.0 iniconfig 1.1.1 intervaltree 3.1.0 ipykernel 5.3.4 ipython 7.19.0 ipython-genutils 0.2.0 ipywidgets 7.5.1 isort 5.6.4 itsdangerous 1.1.0 jdcal 1.4.1 jedi 0.17.1 Jinja2 2.11.2 joblib 0.17.0 json5 0.9.5 jsonschema 3.2.0 jupyter 1.0.0 jupyter-client 6.1.7 jupyter-console 6.2.0 jupyter-core 4.6.3 jupyterlab 2.2.6 jupyterlab-pygments 0.1.2 jupyterlab-server 1.2.0 jupyterthemes 0.20.0 keyring 21.4.0 kiwisolver 1.3.0 lazy-object-proxy 1.4.3 lesscpy 0.15.1 libarchive-c 2.9 llvmlite 0.34.0 locket 0.2.0 lxml 4.6.1 MarkupSafe 1.1.1 matplotlib 3.3.2 mccabe 0.6.1 menuinst 1.4.16 mistune 0.8.4 mkl-fft 1.2.0 mkl-random 1.1.1 mkl-service 2.3.0 mock 4.0.2 more-itertools 8.6.0 mpmath 1.1.0 msgpack 1.0.0 multipledispatch 0.6.0 navigator-updater 0.2.1 nbclient 0.5.1 nbconvert 6.0.7 nbformat 5.0.8 nest-asyncio 1.4.2 networkx 2.5 nltk 3.5 nodeenv 1.7.0 nose 1.3.7 notebook 6.1.4 numba 0.51.2 numexpr 2.7.1 numpy 1.19.2 numpydoc 1.1.0 olefile 0.46 openpyxl 3.0.5 packaging 20.4 pandas 1.1.3 pandocfilters 1.4.3 paramiko 2.7.2 parso 0.7.0 partd 1.1.0 path 15.0.0 pathlib2 2.3.5 pathtools 0.1.2 patsy 0.5.1 pep8 1.7.1 pexpect 4.8.0 pickleshare 0.7.5 Pillow 8.0.1 pip 20.2.4 pkginfo 1.6.1 platformdirs 2.5.2 plotly 5.11.0 pluggy 0.13.1 ply 3.11 pre-commit 2.20.0 prometheus-client 0.8.0 prompt-toolkit 3.0.8 psutil 5.7.2 py 1.9.0 pycodestyle 2.6.0 pycosat 0.6.3 pycparser 2.20 pycurl 7.43.0.6 pydocstyle 5.1.1 pydotplus 2.0.2 pyflakes 2.2.0 Pygments 2.7.2 pylint 2.6.0 PyNaCl 1.4.0 pyodbc 4.0.0-unsupported pyOpenSSL 19.1.0 pyparsing 2.4.7 pyreadline 2.1 pyrsistent 0.17.3 PySocks 1.7.1 pytest 0.0.0 python-dateutil 2.8.1 python-jsonrpc-server 0.4.0 python-language-server 0.35.1 pytz 2020.1 PyWavelets 1.1.1 pywin32 227 pywin32-ctypes 0.2.0 pywinpty 0.5.7 PyYAML 5.3.1 pyzmq 19.0.2 QDarkStyle 2.8.1 QtAwesome 1.0.1 qtconsole 4.7.7 QtPy 1.9.0 regex 2020.10.15 requests 2.24.0 rope 0.18.0 Rtree 0.9.4 ruamel-yaml 0.15.87 scikit-image 0.17.2 scikit-learn 0.23.2 scipy 1.5.2 seaborn 0.11.0 Send2Trash 1.5.0 setuptools 50.3.1.post20201107 simplegeneric 0.8.1 singledispatch 3.4.0.3 sip 4.19.13 six 1.15.0 snowballstemmer 2.0.0 sortedcollections 1.2.1 sortedcontainers 2.2.2 soupsieve 2.0.1 Sphinx 3.2.1 sphinxcontrib-applehelp 1.0.2 sphinxcontrib-devhelp 1.0.2 sphinxcontrib-htmlhelp 1.0.3 sphinxcontrib-jsmath 1.0.1 sphinxcontrib-qthelp 1.0.3 sphinxcontrib-serializinghtml 1.1.4 sphinxcontrib-websupport 1.2.4 spyder 4.1.5 spyder-kernels 1.9.4 SQLAlchemy 1.3.20 statsmodels 0.12.0 stepmix 0.3.0 sympy 1.6.2 tables 3.6.1 tblib 1.7.0 tenacity 8.1.0 terminado 0.9.1 testpath 0.4.4 threadpoolctl 2.1.0 tifffile 2020.10.1 toml 0.10.1 toolz 0.11.1 tornado 6.2 tqdm 4.50.2 traitlets 5.0.5 typing-extensions 3.7.4.3 ujson 4.0.1 unicodecsv 0.14.1 urllib3 1.25.11 virtualenv 20.16.6 watchdog 0.10.3 wcwidth 0.2.5 webencodings 0.5.1 Werkzeug 1.0.1 wheel 0.35.1 widgetsnbextension 3.5.1 win-inet-pton 1.1.0 win-unicode-console 0.5 wincertstore 0.2 wrapt 1.11.2 xlrd 1.2.0 XlsxWriter 1.3.7 xlwings 0.20.8 xlwt 1.3.0 xmltodict 0.12.0 yapf 0.30.0 zict 2.0.0 zipp 3.4.0 zope.event 4.5.0 zope.interface 5.1.2
Can you try pip install --upgrade scikit-learn
and rerun the example?
Thank you! it is working now
Awesome. Will add a specific scikit-learn version requirement for future release.
Hi there, We run StepMix with 0.2.0 and it works, but with 0.3.0 we get an error. Your quickstart sample gives the same error. `from stepmix.datasets import data_bakk_response from stepmix.stepmix import StepMix
Soft 3-step
X, Y, _ = data_bakk_response(n_samples=1000, sep_level=.9, random_state=42) model = StepMix(n_components=3, n_steps=3, measurement='bernoulli', structural='gaussian_unit', assignment='soft', random_state=42) model.fit(X, Y) print(model.score(X, Y)) # Average log-likelihood
--------------------------------------------------------------------------- TypeError Traceback (most recent call last)