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Description
I'm essentially running the demo code, but with my own input data (all numeric data), and the data frames generated by imputer.generate_samples(m=10).output_list still have the same missing values as in the input.
Example input table:
Feature feat1 feat2 feat3 ... feat30 feat31 feat32
ERS2551628 65.0 0.0 101.0 ... 105.0 230.0 27.0
SRS143466 43.0 NaN 34.0 ... 98.0 0.0 26.0
SRS023715 0.0 54.0 0.0 ... 33.0 55.0 NaN
SRS580227 0.0 0.0 10.0 ... 67.0 22.0 0.0
DRS091214 327457.0 0.0 NaN ... NaN 0.0 24.0
... ... ... ... ... ... ... ...
ERS2551594 74.0 15.0 21.0 ... 93.0 40.0 0.0
ERS634957 0.0 12.0 0.0 ... 0.0 45.0 0.0
DRS087574 0.0 80.0 43.0 ... 209.0 NaN 12.0
ERS634952 33.0 56.0 11.0 ... NaN 1032.0 0.0
SRS1820544 49.0 102.0 12.0 ... 13.0 27.0 49.0
...and the output:
Feature feat1 feat2 feat3 ... feat30 feat31 feat32
ERS2551628 65.0 0.0 101.0 ... 105.0 230.0 27.0
SRS143466 43.0 NaN 34.0 ... 98.0 0.0 26.0
SRS023715 0.0 54.0 0.0 ... 33.0 55.0 NaN
SRS580227 0.0 0.0 10.0 ... 67.0 22.0 0.0
DRS091214 327457.0 0.0 NaN ... NaN 0.0 24.0
... ... ... ... ... ... ... ...
ERS2551594 74.0 15.0 21.0 ... 93.0 40.0 0.0
ERS634957 0.0 12.0 0.0 ... 0.0 45.0 0.0
DRS087574 0.0 80.0 43.0 ... 209.0 NaN 12.0
ERS634952 33.0 56.0 11.0 ... NaN 1032.0 0.0
SRS1820544 49.0 102.0 12.0 ... 13.0 27.0 49.0
Any idea on why the missing values are not imputed?
conda env
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
_tflow_select 2.3.0 mkl
absl-py 0.15.0 pypi_0 pypi
aiohttp 3.8.1 py39h3811e60_0 conda-forge
aiosignal 1.2.0 pyhd8ed1ab_0 conda-forge
astor 0.8.1 pyh9f0ad1d_0 conda-forge
astunparse 1.6.3 pyhd8ed1ab_0 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
attrs 21.4.0 pyhd8ed1ab_0 conda-forge
blas 1.1 openblas conda-forge
blinker 1.4 py_1 conda-forge
brotlipy 0.7.0 py39h3811e60_1003 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2021.10.26 h06a4308_2
cachetools 4.2.4 pyhd8ed1ab_0 conda-forge
certifi 2021.10.8 py39hf3d152e_1 conda-forge
cffi 1.15.0 py39h4bc2ebd_0 conda-forge
charset-normalizer 2.0.9 pyhd8ed1ab_0 conda-forge
click 8.0.3 py39hf3d152e_1 conda-forge
cryptography 36.0.0 py39h9ce1e76_0
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
dataclasses 0.8 pyhc8e2a94_3 conda-forge
flatbuffers 1.12 pypi_0 pypi
freetype 2.11.0 h70c0345_0
frozenlist 1.2.0 py39h3811e60_1 conda-forge
gast 0.3.3 pypi_0 pypi
google-auth 1.35.0 pypi_0 pypi
google-auth-oauthlib 0.4.1 py_2 conda-forge
google-pasta 0.2.0 pyh8c360ce_0 conda-forge
grpcio 1.32.0 pypi_0 pypi
h5py 2.10.0 nompi_py39h98ba4bc_106 conda-forge
hdf5 1.10.6 nompi_h3c11f04_101 conda-forge
idna 3.3 pyhd3eb1b0_0
importlib-metadata 4.10.0 py39hf3d152e_0 conda-forge
jbig 2.1 h7f98852_2003 conda-forge
joblib 1.1.0 pypi_0 pypi
jpeg 9d h516909a_0 conda-forge
keras-preprocessing 1.1.2 pyhd8ed1ab_0 conda-forge
kiwisolver 1.3.2 py39h1a9c180_1 conda-forge
lcms2 2.12 hddcbb42_0 conda-forge
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
lerc 3.0 h9c3ff4c_0 conda-forge
libblas 3.9.0 1_h6e990d7_netlib conda-forge
libcblas 3.9.0 3_h893e4fe_netlib conda-forge
libdeflate 1.8 h7f98852_0 conda-forge
libffi 3.4.2 h7f98852_5 conda-forge
libgcc-ng 11.2.0 h1d223b6_11 conda-forge
libgfortran-ng 7.5.0 h14aa051_19 conda-forge
libgfortran4 7.5.0 h14aa051_19 conda-forge
libgomp 11.2.0 h1d223b6_11 conda-forge
liblapack 3.9.0 3_h893e4fe_netlib conda-forge
libnsl 2.0.0 h7f98852_0 conda-forge
libopenblas 0.3.13 h4367d64_0
libpng 1.6.37 hed695b0_2 conda-forge
libprotobuf 3.19.2 h780b84a_0 conda-forge
libstdcxx-ng 11.2.0 he4da1e4_11 conda-forge
libtiff 4.3.0 h6f004c6_2 conda-forge
libuuid 2.32.1 h14c3975_1000 conda-forge
libwebp-base 1.2.1 h7f98852_0 conda-forge
libzlib 1.2.11 h36c2ea0_1013 conda-forge
lz4-c 1.9.3 h9c3ff4c_1 conda-forge
markdown 3.3.6 pyhd8ed1ab_0 conda-forge
matplotlib 3.3.2 0 conda-forge
matplotlib-base 3.3.2 py39h98787fa_1 conda-forge
midaspy 1.2.1 pypi_0 pypi
multidict 5.2.0 py39h3811e60_1 conda-forge
ncurses 6.2 h58526e2_4 conda-forge
numpy 1.19.5 pypi_0 pypi
oauthlib 3.1.1 pyhd8ed1ab_0 conda-forge
olefile 0.46 pyh9f0ad1d_1 conda-forge
openblas 0.3.4 h9ac9557_1000 conda-forge
openjpeg 2.4.0 hb52868f_1 conda-forge
openssl 3.0.0 h7f98852_2 conda-forge
opt_einsum 3.3.0 pyhd8ed1ab_1 conda-forge
pandas 1.3.5 py39hde0f152_0 conda-forge
patsy 0.5.2 pyhd8ed1ab_0 conda-forge
pillow 8.4.0 py39ha612740_0 conda-forge
pip 21.3.1 pyhd8ed1ab_0 conda-forge
protobuf 3.19.2 py39he80948d_0 conda-forge
pyasn1 0.4.8 py_0 conda-forge
pyasn1-modules 0.2.8 py_0
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pyjwt 2.3.0 pyhd8ed1ab_1 conda-forge
pyopenssl 21.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.6 pyhd8ed1ab_0 conda-forge
pysocks 1.7.1 py39hf3d152e_4 conda-forge
python 3.9.9 h543edf9_0_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python_abi 3.9 2_cp39 conda-forge
pytz 2021.3 pyhd8ed1ab_0 conda-forge
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
readline 8.1 h46c0cb4_0 conda-forge
requests 2.27.0 pyhd8ed1ab_0 conda-forge
requests-oauthlib 1.3.0 pyh9f0ad1d_0 conda-forge
rsa 4.8 pyhd8ed1ab_0 conda-forge
scikit-learn 1.0.2 pypi_0 pypi
scipy 1.7.1 py39hc65b3f8_2
setuptools 60.2.0 py39hf3d152e_0 conda-forge
six 1.15.0 pypi_0 pypi
sqlite 3.37.0 h9cd32fc_0 conda-forge
statsmodels 0.13.1 py39hce5d2b2_0 conda-forge
tensorboard 2.6.0 py_0
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pyhd8ed1ab_0 conda-forge
tensorflow 2.4.1 mkl_py39h4683426_0
tensorflow-addons 0.15.0 pypi_0 pypi
tensorflow-base 2.4.1 mkl_py39h43e0292_0
tensorflow-estimator 2.4.0 pypi_0 pypi
termcolor 1.1.0 py_2 conda-forge
threadpoolctl 3.0.0 pypi_0 pypi
tk 8.6.11 h27826a3_1 conda-forge
tornado 6.1 py39h3811e60_2 conda-forge
typeguard 2.13.3 pypi_0 pypi
typing-extensions 3.7.4.3 pypi_0 pypi
tzdata 2021e he74cb21_0 conda-forge
urllib3 1.26.7 pyhd8ed1ab_0 conda-forge
werkzeug 2.0.2 pyhd3eb1b0_0
wheel 0.37.1 pyhd8ed1ab_0 conda-forge
wrapt 1.12.1 pypi_0 pypi
xz 5.2.5 h516909a_1 conda-forge
yarl 1.7.2 py39h3811e60_1 conda-forge
zipp 3.6.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h36c2ea0_1013 conda-forge
zstd 1.5.1 ha95c52a_0 conda-forge
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