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rikturr/rf-rapids-issues.ipynb

Last active August 6, 2020 15:00
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rf-rapids-issues.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Random Forest cuml predict issues\n",
" \n",
"**Hardware**: AWS EC2 `g4dn.xlarge`, NVIDIA T4 GPU (16GB GPU RAM)"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.14.0\n",
"0.14.0+0.g31202da.dirty\n"
]
}
],
"source": [
"import cudf; print(cudf.__version__)\n",
"import cuml; print(cuml.__version__)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"import cudf\n",
"import s3fs\n",
"\n",
"s3 = s3fs.S3FileSystem(anon=True)\n",
"\n",
"df = cudf.read_csv(s3.open('s3://nyc-tlc/trip data/yellow_tripdata_2019-01.csv', mode='rb'), parse_dates=[1,2], assume_missing=True)\n",
"\n",
"df['pickup_weekday'] = df.tpep_pickup_datetime.dt.weekday\n",
"df['pickup_hour'] = df.tpep_pickup_datetime.dt.hour\n",
"X = df[['pickup_weekday', 'pickup_hour', 'PULocationID', 'DOLocationID']].fillna(-1).astype('float32')\n",
"y = df['tip_amount'] # for regression\n",
"y_clf = (df.tip_amount > 0).astype('int32') # for classification"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"inf 0 inf\n",
"1 inf\n",
"2 inf\n",
"3 inf\n",
"4 inf\n",
" ... \n",
"95 inf\n",
"96 inf\n",
"97 inf\n",
"98 inf\n",
"99 inf\n",
"Length: 100, dtype: float32\n"
]
}
],
"source": [
"from cuml.ensemble import RandomForestRegressor\n",
"\n",
"reg = RandomForestRegressor(n_estimators=40)\n",
"reg.fit(X,y)\n",
"\n",
"reg_score = reg.score(X,y)\n",
"reg_pred = reg.predict(X[:100])\n",
"print(reg_score, reg_pred)"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.6856993436813354 0 1.0\n",
"1 1.0\n",
"2 1.0\n",
"3 1.0\n",
"4 1.0\n",
" ... \n",
"95 1.0\n",
"96 1.0\n",
"97 1.0\n",
"98 1.0\n",
"99 1.0\n",
"Length: 100, dtype: float32\n"
]
}
],
"source": [
"from cuml.ensemble import RandomForestClassifier\n",
"\n",
"clf = RandomForestClassifier(n_estimators=40)\n",
"clf.fit(X, y_clf)\n",
"\n",
"clf_score = clf.score(X, y_clf)\n",
"clf_pred = clf.predict(X[:100])\n",
"print(clf_score, clf_pred)"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"# packages in environment at /srv/conda/envs/saturn:\n",
"#\n",
"# Name Version Build Channel\n",
"_libgcc_mutex 0.1 conda_forge conda-forge\n",
"_openmp_mutex 4.5 0_gnu conda-forge\n",
"_tflow_select 2.1.0 gpu defaults\n",
"absl-py 0.9.0 py37_0 defaults\n",
"aiohttp 3.6.2 py37h7b6447c_0 defaults\n",
"appdirs 1.4.3 py37h28b3542_0 defaults\n",
"arrow-cpp 0.15.0 py37h090bef1_2 conda-forge\n",
"asn1crypto 0.24.0 py37_0 defaults\n",
"astor 0.8.0 py37_0 defaults\n",
"async-timeout 3.0.1 py37_0 defaults\n",
"async_generator 1.10 py37h28b3542_0 defaults\n",
"attrs 19.3.0 py_0 defaults\n",
"azure-common 1.1.24 py_0 conda-forge\n",
"azure-core 1.7.0 pyh9f0ad1d_0 conda-forge\n",
"azure-nspkg 3.0.2 py_0 conda-forge\n",
"azure-storage-blob 12.3.2 pyh9f0ad1d_0 conda-forge\n",
"backcall 0.2.0 py_0 defaults\n",
"blas 1.0 mkl defaults\n",
"bleach 3.1.5 py_0 defaults\n",
"blinker 1.4 py37_0 defaults\n",
"bokeh 1.4.0 py37_0 defaults\n",
"boost 1.70.0 py37h9de70de_1 conda-forge\n",
"boost-cpp 1.70.0 h8e57a91_2 conda-forge\n",
"boto 2.49.0 py37_0 defaults\n",
"boto3 1.9.234 py_0 defaults\n",
"botocore 1.12.234 py_0 defaults\n",
"brotli 1.0.7 he6710b0_0 defaults\n",
"brotlipy 0.7.0 py37h7b6447c_1000 defaults\n",
"bzip2 1.0.8 h7b6447c_0 defaults\n",
"c-ares 1.15.0 h7b6447c_1001 defaults\n",
"ca-certificates 2020.6.24 0 defaults\n",
"cachetools 4.1.0 py_1 defaults\n",
"cairo 1.16.0 hcf35c78_1003 conda-forge\n",
"certifi 2020.6.20 py37_0 defaults\n",
"cffi 1.14.0 py37h2e261b9_0 defaults\n",
"cfitsio 3.470 hf0d0db6_5 defaults\n",
"chardet 3.0.4 py37_1003 defaults\n",
"click 7.1.2 py_0 defaults\n",
"click-plugins 1.1.1 py_0 defaults\n",
"cligj 0.5.0 py37_0 defaults\n",
"cloudpickle 1.5.0 py_0 defaults\n",
"colorcet 2.0.2 py_0 defaults\n",
"croniter 0.3.30 py_0 defaults\n",
"cryptography 2.9.2 py37h1ba5d50_0 defaults\n",
"cudatoolkit 10.1.243 h6bb024c_0 nvidia\n",
"cudf 0.14.0 py37_0 rapidsai\n",
"cudnn 7.6.5 cuda10.1_0 defaults\n",
"cugraph 0.14.0 py37_0 rapidsai\n",
"cuml 0.14.0 cuda10.1_py37_0 rapidsai\n",
"cupti 10.1.168 0 defaults\n",
"cupy 7.6.0 py37h0632833_0 conda-forge\n",
"curl 7.69.1 hbc83047_0 defaults\n",
"cusignal 0.14.0 py37_0 rapidsai\n",
"cuspatial 0.14.0 py37_0 rapidsai\n",
"cuxfilter 0.14.0 py37_0 rapidsai\n",
"cvxpy 1.1.3 py37h3340039_0 conda-forge\n",
"cvxpy-base 1.1.3 py37h0da4684_0 conda-forge\n",
"cycler 0.10.0 py37_0 defaults\n",
"cytoolz 0.10.1 py37h7b6447c_0 defaults\n",
"dash 1.4.1 py_0 defaults\n",
"dash-bootstrap-components 0.8.2 py37_0 conda-forge\n",
"dash-core-components 1.3.1 py_0 defaults\n",
"dash-daq 0.3.2 py_0 conda-forge\n",
"dash-html-components 1.0.1 py_0 defaults\n",
"dash-renderer 1.1.2 py_0 defaults\n",
"dash-table 4.4.1 py_0 defaults\n",
"dask 2.20.0 py_0 defaults\n",
"dask-core 2.20.0 py_0 defaults\n",
"dask-cuda 0.14.1 py37_0 rapidsai\n",
"dask-cudf 0.14.0 py37_0 rapidsai\n",
"dask-glm 0.2.0 py37_0 defaults\n",
"dask-ml 1.5.0 py_0 defaults\n",
"dask-saturn 0.0.4 py_0 saturncloud\n",
"dask-xgboost 0.2.0.dev28 cuda10.1py37_0 rapidsai\n",
"datashader 0.10.0 py_0 defaults\n",
"datashape 0.5.4 py37_1 defaults\n",
"dbus 1.13.16 hb2f20db_0 defaults\n",
"decorator 4.4.2 py_0 defaults\n",
"defusedxml 0.6.0 py_0 defaults\n",
"dill 0.3.2 py_0 defaults\n",
"distributed 2.20.0 py37_0 defaults\n",
"dlpack 0.3 he1b5a44_1 conda-forge\n",
"docker-py 4.2.2 py37_0 defaults\n",
"docker-pycreds 0.4.0 py_0 defaults\n",
"docutils 0.15.2 py37_0 defaults\n",
"double-conversion 3.1.5 he6710b0_1 defaults\n",
"ecos 2.0.7.post1 py37heb32a55_0 defaults\n",
"entrypoints 0.3 py37_0 defaults\n",
"expat 2.2.9 he6710b0_2 defaults\n",
"fastavro 0.23.5 py37h7b6447c_0 defaults\n",
"fastparquet 0.3.2 py37heb32a55_0 defaults\n",
"fastrlock 0.4 py37he6710b0_0 defaults\n",
"fiona 1.8.11 py37h41e4f33_0 defaults\n",
"flask 1.1.2 py_0 defaults\n",
"flask-compress 1.5.0 py_0 defaults\n",
"fontconfig 2.13.1 h86ecdb6_1001 conda-forge\n",
"freetype 2.10.2 h5ab3b9f_0 defaults\n",
"freexl 1.0.5 h14c3975_0 defaults\n",
"fribidi 1.0.9 h7b6447c_0 defaults\n",
"fsspec 0.7.4 py_0 defaults\n",
"future 0.18.2 py37_1 defaults\n",
"gast 0.2.2 py37_0 defaults\n",
"gdal 3.0.4 py37h4b180d9_10 conda-forge\n",
"gensim 3.8.0 py37h962f231_0 defaults\n",
"geopandas 0.8.1 py_0 defaults\n",
"geos 3.8.1 he6710b0_0 defaults\n",
"geotiff 1.6.0 h05acad5_0 conda-forge\n",
"gettext 0.19.8.1 hd7bead4_3 defaults\n",
"gflags 2.2.2 he6710b0_0 defaults\n",
"giflib 5.2.1 h516909a_2 conda-forge\n",
"glib 2.63.1 h5a9c865_0 defaults\n",
"glog 0.4.0 he6710b0_0 defaults\n",
"gmp 6.1.2 h6c8ec71_1 defaults\n",
"google-api-core 1.17.0 py37_0 defaults\n",
"google-auth 1.17.2 py_0 defaults\n",
"google-auth-oauthlib 0.4.1 py_2 defaults\n",
"google-cloud-core 1.3.0 py_0 defaults\n",
"google-cloud-storage 1.28.1 py_0 defaults\n",
"google-pasta 0.2.0 py_0 defaults\n",
"google-resumable-media 0.5.1 py_0 defaults\n",
"googleapis-common-protos 1.51.0 py37_2 defaults\n",
"graphite2 1.3.14 h23475e2_0 defaults\n",
"graphviz 2.42.3 h0511662_0 conda-forge\n",
"grpc-cpp 1.23.0 h18db393_0 conda-forge\n",
"grpcio 1.27.2 py37hf8bcb03_0 defaults\n",
"gst-plugins-base 1.14.5 h0935bb2_2 conda-forge\n",
"gstreamer 1.14.5 h36ae1b5_2 conda-forge\n",
"h5py 2.10.0 py37hd6299e0_1 defaults\n",
"harfbuzz 2.4.0 h9f30f68_3 conda-forge\n",
"hdf4 4.2.13 h3ca952b_2 defaults\n",
"hdf5 1.10.6 nompi_h3c11f04_100 conda-forge\n",
"heapdict 1.0.1 py_0 defaults\n",
"icu 64.2 he1b5a44_1 conda-forge\n",
"idna 2.10 py_0 defaults\n",
"ijson 3.0.3 py_0 defaults\n",
"imageio 2.9.0 py_0 defaults\n",
"importlib-metadata 1.7.0 py37_0 defaults\n",
"importlib_metadata 1.7.0 0 defaults\n",
"intel-openmp 2020.1 217 defaults\n",
"ipykernel 5.3.3 py37h5ca1d4c_0 defaults\n",
"ipython 7.16.1 py37h5ca1d4c_0 defaults\n",
"ipython_genutils 0.2.0 py37_0 defaults\n",
"ipywidgets 7.5.1 py_0 defaults\n",
"isodate 0.6.0 py_1 defaults\n",
"itsdangerous 1.1.0 py37_0 defaults\n",
"jedi 0.17.1 py37_0 defaults\n",
"jeepney 0.4.3 py_0 defaults\n",
"jinja2 2.11.2 py_0 defaults\n",
"jmespath 0.10.0 py_0 defaults\n",
"joblib 0.16.0 py_0 defaults\n",
"jpeg 9d h516909a_0 conda-forge\n",
"json-c 0.13.1 h1bed415_0 defaults\n",
"jsonschema 3.2.0 py37_1 defaults\n",
"jupyter-server-proxy 1.5.0 py_0 conda-forge\n",
"jupyter_client 6.1.6 py_0 defaults\n",
"jupyter_core 4.6.3 py37_0 defaults\n",
"jupyter_server 0.1.1 py37_0 conda-forge\n",
"jupyterlab_pygments 0.1.1 pyh9f0ad1d_0 conda-forge\n",
"kealib 1.4.13 h33137a7_1 conda-forge\n",
"keras-applications 1.0.8 py_1 defaults\n",
"keras-preprocessing 1.1.0 py_1 defaults\n",
"keyring 21.2.1 py37_0 defaults\n",
"kiwisolver 1.2.0 py37hfd86e86_0 defaults\n",
"krb5 1.17.1 h173b8e3_0 defaults\n",
"lcms2 2.11 h396b838_0 defaults\n",
"ld_impl_linux-64 2.33.1 h53a641e_7 defaults\n",
"libcudf 0.14.0 cuda10.1_0 rapidsai\n",
"libcugraph 0.14.0 cuda10.1_0 rapidsai\n",
"libcuml 0.14.0 cuda10.1_0 rapidsai\n",
"libcumlprims 0.14.1 cuda10.1_0 nvidia\n",
"libcurl 7.69.1 h20c2e04_0 defaults\n",
"libcuspatial 0.14.0 cuda10.1_0 rapidsai\n",
"libdap4 3.20.6 h1d1bd15_0 conda-forge\n",
"libedit 3.1.20191231 h14c3975_1 defaults\n",
"libevent 2.1.10 hcdb4288_1 conda-forge\n",
"libffi 3.2.1 hd88cf55_4 defaults\n",
"libgcc-ng 9.2.0 h24d8f2e_2 conda-forge\n",
"libgdal 3.0.4 he6a97d6_10 conda-forge\n",
"libgfortran-ng 7.3.0 hdf63c60_0 defaults\n",
"libgomp 9.2.0 h24d8f2e_2 conda-forge\n",
"libhwloc 2.1.0 h3c4fd83_0 conda-forge\n",
"libiconv 1.15 h63c8f33_5 defaults\n",
"libkml 1.3.0 h4fcabce_1010 conda-forge\n",
"libnetcdf 4.7.4 nompi_h84807e1_104 conda-forge\n",
"libnvstrings 0.14.0 cuda10.1_0 rapidsai\n",
"libpng 1.6.37 hbc83047_0 defaults\n",
"libpq 12.2 h20c2e04_0 defaults\n",
"libprotobuf 3.8.0 hd408876_0 defaults\n",
"librmm 0.14.0 cuda10.1_0 rapidsai\n",
"libsodium 1.0.18 h7b6447c_0 defaults\n",
"libspatialindex 1.9.3 he6710b0_0 defaults\n",
"libspatialite 4.3.0a h2482549_1038 conda-forge\n",
"libssh2 1.9.0 h1ba5d50_1 defaults\n",
"libstdcxx-ng 9.1.0 hdf63c60_0 defaults\n",
"libtiff 4.1.0 h2733197_1 defaults\n",
"libtool 2.4.6 h7b6447c_5 defaults\n",
"libuuid 2.32.1 h14c3975_1000 conda-forge\n",
"libwebp 1.1.0 h56121f0_4 conda-forge\n",
"libwebp-base 1.1.0 h516909a_3 conda-forge\n",
"libxcb 1.14 h7b6447c_0 defaults\n",
"libxgboost 1.1.0dev.rapidsai0.14 cuda10.1_0 rapidsai\n",
"libxml2 2.9.10 hee79883_0 conda-forge\n",
"llvmlite 0.32.1 py37hf484d3e_0 numba\n",
"locket 0.2.0 py37_1 defaults\n",
"lz4-c 1.8.3 he1b5a44_1001 conda-forge\n",
"markdown 3.1.1 py37_0 defaults\n",
"markupsafe 1.1.1 py37h14c3975_1 defaults\n",
"marshmallow 3.7.0 py_0 defaults\n",
"marshmallow-oneofschema 2.0.1 py_0 conda-forge\n",
"matplotlib 3.2.2 0 defaults\n",
"matplotlib-base 3.2.2 py37h30547a4_0 conda-forge\n",
"mistune 0.8.4 py37h14c3975_1001 defaults\n",
"mkl 2020.1 217 defaults\n",
"mkl-service 2.3.0 py37he904b0f_0 defaults\n",
"mkl_fft 1.1.0 py37h23d657b_0 defaults\n",
"mkl_random 1.1.1 py37h0573a6f_0 defaults\n",
"msgpack-python 1.0.0 py37hfd86e86_1 defaults\n",
"msrest 0.6.17 pyh9f0ad1d_0 conda-forge\n",
"multidict 4.7.3 py37h7b6447c_0 defaults\n",
"multipledispatch 0.6.0 py37_0 defaults\n",
"multiprocess 0.70.10 py37h8f50634_0 conda-forge\n",
"munch 2.5.0 py_0 defaults\n",
"mypy_extensions 0.4.3 py37_0 defaults\n",
"nbconvert 5.6.1 py37_1 defaults\n",
"nbformat 5.0.7 py_0 defaults\n",
"nccl 2.5.7.1 h51cf6c1_0 conda-forge\n",
"ncurses 6.2 he6710b0_1 defaults\n",
"networkx 2.4 py_1 defaults\n",
"ninja 1.9.0 py37hfd86e86_0 defaults\n",
"nltk 3.5 py_0 defaults\n",
"nodejs 10.13.0 he6710b0_0 defaults\n",
"notebook 6.0.3 py37_0 defaults\n",
"numba 0.49.1 py37h0573a6f_0 defaults\n",
"numpy 1.18.5 py37ha1c710e_0 defaults\n",
"numpy-base 1.18.5 py37hde5b4d6_0 defaults\n",
"nvstrings 0.14.0 py37_0 rapidsai\n",
"oauthlib 3.1.0 py_0 defaults\n",
"olefile 0.46 py37_0 defaults\n",
"openblas 0.3.3 h9ac9557_1001 conda-forge\n",
"openjpeg 2.3.1 h981e76c_3 conda-forge\n",
"openssl 1.1.1g h7b6447c_0 defaults\n",
"opt_einsum 3.1.0 py_0 defaults\n",
"osqp 0.6.1 py37h0da4684_2 conda-forge\n",
"packaging 20.4 py_0 defaults\n",
"pandas 0.25.3 py37he6710b0_0 defaults\n",
"pandoc 2.10 0 defaults\n",
"pandocfilters 1.4.2 py37_1 defaults\n",
"panel 0.6.4 0 defaults\n",
"pango 1.42.4 h7062337_4 conda-forge\n",
"param 1.9.3 py_0 defaults\n",
"parquet-cpp 1.5.1 2 conda-forge\n",
"parso 0.7.0 py_0 defaults\n",
"partd 1.1.0 py_0 defaults\n",
"pcre 8.44 he6710b0_0 defaults\n",
"pendulum 2.1.0 py37_1 defaults\n",
"pexpect 4.8.0 py37_1 defaults\n",
"pickleshare 0.7.5 py37_1001 defaults\n",
"pillow 7.2.0 py37hb39fc2d_0 defaults\n",
"pip 20.1.1 py37_1 defaults\n",
"pixman 0.38.0 h7b6447c_0 defaults\n",
"plotly 4.8.2 py_0 defaults\n",
"poppler 0.87.0 h4190859_1 conda-forge\n",
"poppler-data 0.4.9 0 defaults\n",
"postgresql 12.2 h20c2e04_0 defaults\n",
"prefect 0.12.5 py_0 conda-forge\n",
"proj 7.0.0 h59a7b90_1 defaults\n",
"prometheus_client 0.8.0 py_0 defaults\n",
"prompt-toolkit 3.0.5 py_0 defaults\n",
"protobuf 3.8.0 py37he6710b0_0 defaults\n",
"psutil 5.7.0 py37h7b6447c_0 defaults\n",
"ptyprocess 0.6.0 py37_0 defaults\n",
"py-xgboost 1.1.0dev.rapidsai0.14 cuda10.1py37_0 rapidsai\n",
"pyarrow 0.15.0 py37h8b68381_1 conda-forge\n",
"pyasn1 0.4.8 py_0 defaults\n",
"pyasn1-modules 0.2.7 py_0 defaults\n",
"pycparser 2.20 py_2 defaults\n",
"pycryptodomex 3.9.8 py37h7b6447c_1 defaults\n",
"pyct 0.4.6 py37_0 defaults\n",
"pyee 7.0.2 pyh9f0ad1d_0 conda-forge\n",
"pygments 2.6.1 py_0 defaults\n",
"pyjwt 1.7.1 py37_0 defaults\n",
"pynvml 8.0.4 py_1 conda-forge\n",
"pyopenssl 19.1.0 py_1 defaults\n",
"pyparsing 2.4.7 py_0 defaults\n",
"pyppeteer 0.0.25 py_1 conda-forge\n",
"pyproj 2.6.1.post1 py37h34dd122_0 conda-forge\n",
"pyqt 5.9.2 py37h05f1152_2 defaults\n",
"pyrsistent 0.16.0 py37h7b6447c_0 defaults\n",
"pysocks 1.7.1 py37_1 defaults\n",
"python 3.7.7 hcf32534_0_cpython defaults\n",
"python-box 4.2.3 py_0 conda-forge\n",
"python-dateutil 2.8.1 py_0 defaults\n",
"python-slugify 3.0.4 py_0 defaults\n",
"python_abi 3.7 1_cp37m conda-forge\n",
"pytorch 1.4.0 py3.7_cuda10.1.243_cudnn7.6.3_0 pytorch\n",
"pytz 2020.1 py_0 defaults\n",
"pytzdata 2019.3 py_0 defaults\n",
"pyviz_comms 0.7.6 py_0 defaults\n",
"pywavelets 1.1.1 py37h7b6447c_0 defaults\n",
"pyyaml 5.3.1 py37h7b6447c_1 defaults\n",
"pyzmq 19.0.1 py37he6710b0_1 defaults\n",
"qt 5.9.7 h0c104cb_3 conda-forge\n",
"rapids 0.14.1 cuda10.1_py37_0 rapidsai\n",
"rapids-xgboost 0.14.1 cuda10.1_py37_0 rapidsai\n",
"re2 2019.08.01 he6710b0_0 defaults\n",
"readline 8.0 h7b6447c_0 defaults\n",
"regex 2020.6.8 py37h7b6447c_0 defaults\n",
"requests 2.24.0 py_0 defaults\n",
"requests-oauthlib 1.3.0 py_0 defaults\n",
"retrying 1.3.3 py37_2 defaults\n",
"rmm 0.14.0 py37_0 rapidsai\n",
"rsa 4.0 py_0 defaults\n",
"rtree 0.9.4 py37_1 defaults\n",
"ruamel.yaml 0.16.10 py37h7b6447c_1 defaults\n",
"ruamel.yaml.clib 0.2.0 py37h14c3975_1 defaults\n",
"s3fs 0.4.2 py_0 defaults\n",
"s3transfer 0.2.1 py37_0 defaults\n",
"scikit-image 0.16.2 py37h0573a6f_0 defaults\n",
"scikit-learn 0.23.1 py37h423224d_0 defaults\n",
"scipy 1.5.0 py37h0b6359f_0 defaults\n",
"scs 2.0.2 py37h0290663_1000 conda-forge\n",
"secretstorage 3.1.2 py37_1 defaults\n",
"send2trash 1.5.0 py37_0 defaults\n",
"setuptools 49.2.0 py37_0 defaults\n",
"shapely 1.7.0 py37hc88ce51_3 conda-forge\n",
"simpervisor 0.3 py_1 conda-forge\n",
"sip 4.19.8 py37hf484d3e_0 defaults\n",
"six 1.15.0 py_0 defaults\n",
"smart_open 2.1.0 py_0 defaults\n",
"snappy 1.1.8 he6710b0_0 defaults\n",
"snowflake-connector-python 2.1.1 py37_0 conda-forge\n",
"snowflake-sqlalchemy 1.2.3 pyh9f0ad1d_0 conda-forge\n",
"sortedcontainers 2.2.2 py_0 defaults\n",
"spdlog 1.7.0 hc9558a2_0 conda-forge\n",
"sqlalchemy 1.3.18 py37h7b6447c_0 defaults\n",
"sqlite 3.32.3 h62c20be_0 defaults\n",
"tabulate 0.8.3 py37_0 defaults\n",
"tbb 2018.0.5 h6bb024c_0 defaults\n",
"tblib 1.6.0 py_0 defaults\n",
"tensorboard 2.1.0 py3_0 defaults\n",
"tensorflow 2.1.0 gpu_py37h7a4bb67_0 defaults\n",
"tensorflow-base 2.1.0 gpu_py37h6c5654b_0 defaults\n",
"tensorflow-estimator 2.1.0 pyhd54b08b_0 defaults\n",
"termcolor 1.1.0 py37_1 defaults\n",
"terminado 0.8.3 py37_0 defaults\n",
"testpath 0.4.4 py_0 defaults\n",
"text-unidecode 1.3 py_0 defaults\n",
"threadpoolctl 2.1.0 pyh5ca1d4c_0 defaults\n",
"thrift 0.13.0 py37he6710b0_0 defaults\n",
"thrift-cpp 0.12.0 hf3afdfd_1004 conda-forge\n",
"tiledb 1.7.7 hcde45ca_0 conda-forge\n",
"tk 8.6.10 hbc83047_0 defaults\n",
"toml 0.10.1 py_0 defaults\n",
"toolz 0.10.0 py_0 defaults\n",
"torchvision 0.5.0 py37_cu101 pytorch\n",
"tornado 6.0.4 py37h7b6447c_1 defaults\n",
"tqdm 4.47.0 py_0 defaults\n",
"traitlets 4.3.3 py37_0 defaults\n",
"ucx 1.8.0+gf6ec8d4 cuda10.1_20 rapidsai\n",
"ucx-py 0.14.0+gf6ec8d4 py37_0 rapidsai\n",
"unidecode 1.1.1 py_0 defaults\n",
"uriparser 0.9.3 he6710b0_1 defaults\n",
"urllib3 1.25.9 py_0 defaults\n",
"voila 0.1.21 py_0 conda-forge\n",
"wcwidth 0.2.5 py_0 defaults\n",
"webencodings 0.5.1 py37_1 defaults\n",
"websocket-client 0.57.0 py37_1 defaults\n",
"websockets 8.1 py37h8f50634_1 conda-forge\n",
"werkzeug 1.0.1 py_0 defaults\n",
"wheel 0.34.2 py37_0 defaults\n",
"widgetsnbextension 3.5.1 py37_0 defaults\n",
"wordcloud 1.7.0 py37h8f50634_1 conda-forge\n",
"wrapt 1.12.1 py37h7b6447c_1 defaults\n",
"xarray 0.16.0 py_0 defaults\n",
"xerces-c 3.2.2 h8412b87_1004 conda-forge\n",
"xgboost 1.1.0dev.rapidsai0.14 cuda10.1py37_0 rapidsai\n",
"xorg-kbproto 1.0.7 h14c3975_1002 conda-forge\n",
"xorg-libice 1.0.10 h516909a_0 conda-forge\n",
"xorg-libsm 1.2.3 h84519dc_1000 conda-forge\n",
"xorg-libx11 1.6.9 h516909a_0 conda-forge\n",
"xorg-libxext 1.3.4 h516909a_0 conda-forge\n",
"xorg-libxpm 3.5.13 h516909a_0 conda-forge\n",
"xorg-libxrender 0.9.10 h516909a_1002 conda-forge\n",
"xorg-libxt 1.1.5 h516909a_1003 conda-forge\n",
"xorg-renderproto 0.11.1 h14c3975_1002 conda-forge\n",
"xorg-xextproto 7.3.0 h14c3975_1002 conda-forge\n",
"xorg-xproto 7.0.31 h14c3975_1007 conda-forge\n",
"xz 5.2.5 h7b6447c_0 defaults\n",
"yaml 0.2.5 h7b6447c_0 defaults\n",
"yarl 1.4.2 py37h7b6447c_0 defaults\n",
"zeromq 4.3.2 he6710b0_2 defaults\n",
"zict 2.0.0 py_0 defaults\n",
"zipp 3.1.0 py_0 defaults\n",
"zlib 1.2.11 h7b6447c_3 defaults\n",
"zstd 1.4.4 h3b9ef0a_2 conda-forge\n"
]
}
],
"source": [
"!conda list"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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