Linear regression is not reproducible about dowhy HOT 13 CLOSED

I will see if I manage to build a docker image where I can reproduce the error. Em sex, 22 de fev de 2019 às 18:25, Adam Kelleher <[email protected]> escreveu:

Hi, sorry it took me some days, I had other urgent tasks... I created a minimal virtual environment "dowhy_test_list.txt" for the dowhy_lalonde_debug.py file (the one I posted on github) using conda, and everything works just fine. On the other hand, using the much fuller "base" virtual environment that anaconda initially installed, I continue getting the bizarre behavior I posted. It is clear that the problem is with some other package and not with dowhy_test itself. Both environments run python 3.7.2. Just in case you are interested, I have attached the output of "conda list -n base" and "conda list -n dowhy_test". Thanks a lot for taking care of this seeming bug! Best, Matthias

# packages in environment at /Users/mgralle/anaconda3: # # Name Version Build Channel _ipyw_jlab_nb_ext_conf 0.1.0 py37_0 _r-mutex 1.0.0 anacondar_1 alabaster 0.7.11 py37_0 anaconda 5.3.1 py37_0 anaconda-client 1.7.2 py37_0 anaconda-navigator 1.9.6 py37_0 anaconda-project 0.8.2 py37_0 appdirs 1.4.3 py37h28b3542_0 appnope 0.1.0 py37_0 appscript 1.0.1 py37h1de35cc_1 asn1crypto 0.24.0 py37_0 astroid 2.0.4 py37_0 astropy 3.0.4 py37h1de35cc_0 atomicwrites 1.2.1 py37_0 attrs 18.2.0 py37h28b3542_0 automat 0.7.0 py37_0 babel 2.6.0 py37_0 backcall 0.1.0 py37_0 backports 1.0 py37_1 backports.shutil_get_terminal_size 1.0.0 py37_2 beautifulsoup4 4.6.3 py37_0 bitarray 0.8.3 py37h1de35cc_0 bkcharts 0.2 py37_0 blas 1.0 mkl blaze 0.11.3 py37_0 bleach 2.1.4 py37_0 blosc 1.14.4 hd9629dc_0 bokeh 0.13.0 py37_0 boto 2.49.0 py37_0 bottleneck 1.2.1 py37h1d22016_1 bwidget 1.9.11 1 bzip2 1.0.6 h1de35cc_5 ca-certificates 2019.1.23 0 cairo 1.14.12 hc4e6be7_4 cctools 895 h7512d6f_0 certifi 2018.11.29 py37_0 cffi 1.11.5 py37h6174b99_1 chardet 3.0.4 py37_1 clang 4.0.1 h662ec87_0 clang_osx-64 4.0.1 h1ce6c1d_11 clangxx 4.0.1 hc9b4283_0 clangxx_osx-64 4.0.1 h22b1bf0_11 click 6.7 py37_0 cloudpickle 0.5.5 py37_0 clyent 1.2.2 py37_1 colorama 0.3.9 py37_0 compiler-rt 4.0.1 h5487866_0 conda 4.6.7 py37_0 conda-build 3.15.1 py37_0 conda-env 2.6.0 1 constantly 15.1.0 py37h28b3542_0 contextlib2 0.5.5 py37_0 cryptography 2.5 py37ha12b0ac_0 curl 7.63.0 ha441bb4_1000 cycler 0.10.0 py37_0 cyrus-sasl 2.1.26 hb48c43a_4 cython 0.28.5 py37h0a44026_0 cytoolz 0.9.0.1 py37h1de35cc_1 dask 0.19.1 py37_0 dask-core 0.19.1 py37_0 datashape 0.5.4 py37_1 dbus 1.13.2 h760590f_1 decorator 4.3.0 py37_0 defusedxml 0.5.0 py37_1 distributed 1.23.1 py37_0 docutils 0.14 py37_0 entrypoints 0.2.3 py37_2 et_xmlfile 1.0.1 py37_0 expat 2.2.6 h0a44026_0 fastcache 1.0.2 py37h1de35cc_2 filelock 3.0.8 py37_0 flask 1.0.2 py37_1 flask-cors 3.0.6 py37_0 font-ttf-dejavu-sans-mono 2.37 h6964260_0 font-ttf-inconsolata 2.001 hcb22688_0 font-ttf-source-code-pro 2.030 h7457263_0 font-ttf-ubuntu 0.83 h8b1ccd4_0 fontconfig 2.13.0 h5d5b041_1 fonts-anaconda 1 h8fa9717_0 freetype 2.9.1 hb4e5f40_0 fribidi 1.0.5 h1de35cc_0 get_terminal_size 1.0.0 h7520d66_0 gettext 0.19.8.1 h15daf44_3 gevent 1.3.6 py37h1de35cc_0 gfortran_osx-64 4.8.5 h22b1bf0_5 glib 2.56.2 hd9629dc_0 glob2 0.6 py37_0 gmp 6.1.2 hb37e062_1 gmpy2 2.0.8 py37h6ef4df4_2 graphite2 1.3.12 h2098e52_2 greenlet 0.4.15 py37h1de35cc_0 gsl 2.4 h1de35cc_4 h5py 2.8.0 py37h878fce3_3 harfbuzz 1.8.8 hb8d4a28_0 hdf5 1.10.2 hfa1e0ec_1 heapdict 1.0.0 py37_2 html5lib 1.0.1 py37_0 hyperlink 18.0.0 py37_0 icu 58.2 h4b95b61_1 idna 2.7 py37_0 imageio 2.4.1 py37_0 imagesize 1.1.0 py37_0 incremental 17.5.0 py37_0 intel-openmp 2019.0 118 ipykernel 4.9.0 py37_1 ipython 6.5.0 py37_0 ipython_genutils 0.2.0 py37_0 ipywidgets 7.4.1 py37_0 isort 4.3.4 py37_0 itsdangerous 0.24 py37_1 jbig 2.1 h4d881f8_0 jdcal 1.4 py37_0 jedi 0.12.1 py37_0 jinja2 2.10 py37_0 jpeg 9b he5867d9_2 jsonschema 2.6.0 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1.2.11 hf3cbc9b_2 zope 1.0 py37_1 zope.interface 4.5.0 py37h1de35cc_0 # packages in environment at /Users/mgralle/anaconda3/envs/dowhy_test: # # Name Version Build Channel blas 1.0 mkl ca-certificates 2019.1.23 0 certifi 2018.11.29 py37_0 decorator 4.3.2 py37_0 fastcache 1.0.2 py37h1de35cc_2 gmp 6.1.2 hb37e062_1 gmpy2 2.0.8 py37h6ef4df4_2 intel-openmp 2019.1 144 libcxx 4.0.1 hcfea43d_1 libcxxabi 4.0.1 hcfea43d_1 libedit 3.1.20181209 hb402a30_0 libffi 3.2.1 h475c297_4 libgfortran 3.0.1 h93005f0_2 mkl 2019.1 144 mkl_fft 1.0.10 py37h5e564d8_0 mkl_random 1.0.2 py37h27c97d8_0 mpc 1.1.0 h6ef4df4_1 mpfr 4.0.1 h3018a27_3 mpmath 1.1.0 py37_0 ncurses 6.1 h0a44026_1 networkx 2.2 py37_1 numpy 1.15.4 py37hacdab7b_0 numpy-base 1.15.4 py37h6575580_0 openssl 1.1.1b h1de35cc_0 pandas 0.24.1 py37h0a44026_0 pip 1.5.4 pypy_0 quasiben python 3.7.2 haf84260_0 python-dateutil 2.7.5 py37_0 pytz 2018.9 py37_0 readline 7.0 h1de35cc_5 scikit-learn 0.20.2 py37h27c97d8_0 scipy 1.2.1 py37h1410ff5_0 setuptools 40.8.0 py37_0 six 1.12.0 py37_0 sqlite 3.26.0 ha441bb4_0 sympy 1.3 py37_0 tk 8.6.8 ha441bb4_0 xz 5.2.4 h1de35cc_4 zlib 1.2.11 h1de35cc_3

Hi, I couldn't resist digging a bit deeper. As I wrote in my last message, with the originally installed "base" environment, I get the bizarre behavior. I cloned "base" and removed 1) all packages related to R: still bizarre (sorry, didn't export a yml file), so I removed also 2) spyder, which gave the following output: The following packages will be REMOVED: anaconda-5.3.1-py37_0 mkl-service-1.1.2-py37h6b9c3cc_5 mkl_fft-1.0.4-py37h5d10147_1 mkl_random-1.0.1-py37h5d10147_1 numpy-base-1.15.1-py37h8a80b8c_0 scikit-learn-0.19.2-py37h4f467ca_0 spyder-3.3.1-py37_1 The following packages will be DOWNGRADED: mkl 2019.0-118 --> 2018.0.3-1 numpy 1.15.1-py37h6a91979_0 --> 1.11.3-py37heee0a97_5 scipy 1.1.0-py37h28f7352_1 --> 1.1.0-py37hf5b7bf4_0 and then added back either scikit-learn=0.19.2 or sciki-learn-0.20.1: expected behavior Since the minimal dowhy_test environment has mkl2019.1, numpy 1.15.4 and scipy 1.2.1, the problem probably resides in anaconda or spyder (see attached environment.yml files). I suppose I won't be using spyder anymore! Thanks for keeping in touch! Em qua, 27 de fev de 2019 às 09:18, Amit Sharma <[email protected]> escreveu:

Just to make it a bit more concise. Virtual environment dowhy_test: expected behavior On including newest version of anaconda: expected behavior (only anaconda-custom installed) The base version of Anaconda+Spyder that I was using had anaconda=5.3.1, so I tried this. On including anaconda=5.3.1 with attendant installation and downgrading of other packages: bizarre behavior Virtual environment base: bizarre behavior Em qua, 27 de fev de 2019 às 09:18, Amit Sharma <[email protected]> escreveu:

Yes, in fact I agree that it's not worth digging into the details of the packages. My hunch is that there is a problem with the downgrading of some packages forced by anaconda=5.3.1. In any case, for myself I won't use anaconda and spyder anymore since they seem to introduce unnecessary complications. Em qua, 6 de mar de 2019 às 14:56, Adam Kelleher <[email protected]> escreveu: