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.vscode/extensions.json

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{
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"recommendations": [
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"REditorSupport.r"
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]
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}

data/curated_data/README.md

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# data dump for curation

data/curated_data/x/binary/x_ext/README.md

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data/curated_data/x/binary/x_train/README.md

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data/curated_data/y/binary/README.md

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# dump for y binary
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# dump for y_ext
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# dump for y_train
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# dummp for y multiclass
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# dump for y regression

data/data_summary/README.md

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# data summary

data/figs/README.md

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data/fp/README.md

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# data dump for fp generation

data/fp/binary/README.md

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# data dump for fp generation

data/fp/multiclass/README.md

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# data dump for fp generation

data/fp/regression/README.md

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# data dump for fp generation

data/models/binary/README.md

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# dump place for binary models

data/models/binary/metrics/README.md

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data/models/multiclass/README.md

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## dump place for multiclass models

data/models/regression/README.md

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## dump place for regression models

data/raw_data/README.md

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# raw data
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# data dump for removed data during curation

environment.yml

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name: chem_pipeline
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channels:
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- conda-forge
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- defaults
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dependencies:
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- boost=1.74.0
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- boost-cpp=1.74.0
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- brotli=1.0.9
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- brotli-bin=1.0.9
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- bzip2=1.0.8
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- ca-certificates=2022.9.24
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- cairo=1.16.0
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- certifi=2022.9.24
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- chembl_structure_pipeline=1.0.0
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- contourpy=1.0.5
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- cycler=0.11.0
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- expat=2.4.9
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- font-ttf-dejavu-sans-mono=2.37
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- font-ttf-inconsolata=3.000
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- font-ttf-source-code-pro=2.038
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- font-ttf-ubuntu=0.83
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- fontconfig=2.14.0
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- fonts-conda-ecosystem=1
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- fonts-conda-forge=1
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- fonttools=4.37.4
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- freetype=2.12.1
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- gettext=0.21.1
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- greenlet=1.1.3
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- icu=70.1
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- intel-openmp=2022.1.0
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- jpeg=9e
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- kiwisolver=1.4.4
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- lcms2=2.12
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- lerc=4.0.0
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- libblas=3.9.0
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- libbrotlicommon=1.0.9
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- libbrotlidec=1.0.9
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- libbrotlienc=1.0.9
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- libcblas=3.9.0
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- libdeflate=1.14
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- libffi=3.4.2
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- libglib=2.74.0
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- libiconv=1.17
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- liblapack=3.9.0
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- libpng=1.6.38
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- libsqlite=3.39.4
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- libtiff=4.4.0
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- libwebp-base=1.2.4
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- libxcb=1.13
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- libzlib=1.2.12
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- m2w64-gcc-libgfortran=5.3.0
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- m2w64-gcc-libs=5.3.0
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- m2w64-gcc-libs-core=5.3.0
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- m2w64-gmp=6.1.0
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- m2w64-libwinpthread-git=5.0.0.4634.697f757
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- mkl=2022.1.0
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- msys2-conda-epoch=20160418
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- munkres=1.1.4
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- numpy=1.23.3
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- openjpeg=2.5.0
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- openssl=3.0.5
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- packaging=21.3
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- pandas=1.5.0
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- pcre2=10.37
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- pillow=9.2.0
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- pip=22.2.2
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- pixman=0.40.0
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- pthread-stubs=0.4
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- pycairo=1.21.0
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- pyparsing=3.0.9
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- python=3.10.6
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- python-dateutil=2.8.2
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- python_abi=3.10
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- pytz=2022.4
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- rdkit=2022.03.5
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- reportlab=3.5.68
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- setuptools=65.4.1
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- six=1.16.0
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- sqlalchemy=1.4.41
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- tbb=2021.6.0
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- tk=8.6.12
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- tzdata=2022e
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- ucrt=10.0.20348.0
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- unicodedata2=14.0.0
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- vc=14.2
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- vs2015_runtime=14.29.30139
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- wheel=0.37.1
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- xorg-libxau=1.0.9
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- xorg-libxdmcp=1.1.3
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- xz=5.2.6
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- zlib=1.2.12
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- zstd=1.5.2
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- pip:
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- attrs==22.1.0
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- catboost==1.1
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- classeval==0.1.13
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- cloudpickle==2.2.0
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- colourmap==1.1.10
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- df2onehot==1.0.1
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- fastjsonschema==2.16.2
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- funcsigs==1.0.2
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- future==0.18.2
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- hgboost==1.1.3
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- hyperopt==0.2.7
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- imbalanced-learn==0.9.1
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- imblearn==0.0
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- joblib==1.2.0
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- jsonschema==4.16.0
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- lightgbm==3.3.3
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- matplotlib==3.6.0
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- nbformat==5.7.0
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- networkx==2.8.7
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- plotly==5.10.0
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- py4j==0.10.9.7
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- pyaml==21.10.1
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- pypickle==1.1.0
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- pyrsistent==0.18.1
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- python-graphviz==0.20.1
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- pyyaml==6.0
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- scikit-learn==1.1.2
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- scikit-optimize==0.9.0
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- scipy==1.9.3
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- seaborn==0.12.1
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- sklearn==0.0
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- tenacity==8.1.0
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- threadpoolctl==3.1.0
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- tqdm==4.64.1
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- treeplot==0.1.16
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- wget==3.2
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- xgboost==1.6.2
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prefix: C:\Users\igorh\anaconda3\envs\chem_pipeline
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