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Upload requirements.txt
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requirements.txt
ADDED
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1 |
+
# This file may be used to create an environment using:
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2 |
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# $ conda create --name <env> --file <this file>
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# platform: linux-64
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4 |
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_libgcc_mutex=0.1=conda_forge
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5 |
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_openmp_mutex=4.5=2_gnu
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6 |
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_py-xgboost-mutex=2.0=gpu_0
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7 |
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anyio=4.2.0=py312h06a4308_0
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8 |
+
argon2-cffi=21.3.0=pyhd3eb1b0_0
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9 |
+
argon2-cffi-bindings=21.2.0=py312h5eee18b_0
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10 |
+
asttokens=2.0.5=pyhd3eb1b0_0
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11 |
+
async-lru=2.0.4=py312h06a4308_0
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12 |
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attrs=23.1.0=py312h06a4308_0
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13 |
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babel=2.11.0=py312h06a4308_0
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14 |
+
beautifulsoup4=4.12.3=py312h06a4308_0
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15 |
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blas=1.0=mkl
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16 |
+
bleach=4.1.0=pyhd3eb1b0_0
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17 |
+
boruta=0.3=pypi_0
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18 |
+
bottleneck=1.3.7=py312ha883a20_0
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19 |
+
brotli=1.0.9=h5eee18b_8
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20 |
+
brotli-bin=1.0.9=h5eee18b_8
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21 |
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brotli-python=1.0.9=py312h6a678d5_8
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22 |
+
bzip2=1.0.8=h5eee18b_6
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23 |
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ca-certificates=2024.7.4=hbcca054_0
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24 |
+
certifi=2024.7.4=pyhd8ed1ab_0
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25 |
+
cffi=1.16.0=py312h5eee18b_1
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26 |
+
charset-normalizer=3.3.2=pyhd3eb1b0_0
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27 |
+
cloudpickle=3.0.0=pyhd8ed1ab_0
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28 |
+
colorama=0.4.6=pyhd8ed1ab_0
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29 |
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comm=0.2.1=py312h06a4308_0
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30 |
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contourpy=1.2.0=py312hdb19cb5_0
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31 |
+
cuda-cudart=11.8.89=0
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32 |
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cuda-cupti=11.8.87=0
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33 |
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cuda-libraries=11.8.0=0
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34 |
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cuda-nvrtc=11.8.89=0
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35 |
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cuda-nvtx=11.8.86=0
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36 |
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cuda-runtime=11.8.0=0
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37 |
+
cuda-version=11.8=h70ddcb2_3
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38 |
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cycler=0.11.0=pyhd3eb1b0_0
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39 |
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cyrus-sasl=2.1.28=h52b45da_1
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40 |
+
dbus=1.13.18=hb2f20db_0
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41 |
+
debugpy=1.6.7=py312h6a678d5_0
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42 |
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decorator=5.1.1=pyhd3eb1b0_0
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43 |
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defusedxml=0.7.1=pyhd3eb1b0_0
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44 |
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dython=0.7.6=pypi_0
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45 |
+
executing=0.8.3=pyhd3eb1b0_0
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46 |
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expat=2.6.2=h6a678d5_0
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47 |
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ffmpeg=4.3=hf484d3e_0
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48 |
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filelock=3.13.1=py312h06a4308_0
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49 |
+
fontconfig=2.14.2=h14ed4e7_0
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+
fonttools=4.51.0=py312h5eee18b_0
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51 |
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freetype=2.12.1=h4a9f257_0
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52 |
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glib=2.78.4=h6a678d5_0
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53 |
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glib-tools=2.78.4=h6a678d5_0
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54 |
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gmp=6.2.1=h295c915_3
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55 |
+
gnutls=3.6.15=he1e5248_0
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56 |
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gputil=1.4.0=pypi_0
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57 |
+
gst-plugins-base=1.14.1=h6a678d5_1
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58 |
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gstreamer=1.14.1=h5eee18b_1
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icu=73.1=h6a678d5_0
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idna=3.7=py312h06a4308_0
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61 |
+
imbalanced-learn=0.12.3=pypi_0
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intel-openmp=2023.1.0=hdb19cb5_46306
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63 |
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ipykernel=6.28.0=py312h06a4308_0
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ipython=8.25.0=py312h06a4308_0
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65 |
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ipywidgets=8.1.2=py312h06a4308_0
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66 |
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jedi=0.19.1=py312h06a4308_0
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67 |
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jinja2=3.1.4=py312h06a4308_0
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68 |
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joblib=1.4.2=pyhd8ed1ab_0
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69 |
+
jpeg=9e=h5eee18b_2
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70 |
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json5=0.9.6=pyhd3eb1b0_0
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71 |
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jsonschema=4.19.2=py312h06a4308_0
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72 |
+
jsonschema-specifications=2023.7.1=py312h06a4308_0
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73 |
+
jupyter=1.0.0=py312h06a4308_9
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74 |
+
jupyter-lsp=2.2.0=py312h06a4308_0
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75 |
+
jupyter_client=8.6.0=py312h06a4308_0
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76 |
+
jupyter_console=6.6.3=py312h06a4308_1
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77 |
+
jupyter_core=5.7.2=py312h06a4308_0
|
78 |
+
jupyter_events=0.10.0=py312h06a4308_0
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79 |
+
jupyter_server=2.14.1=py312h06a4308_0
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80 |
+
jupyter_server_terminals=0.4.4=py312h06a4308_1
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81 |
+
jupyterlab=4.0.11=py312h06a4308_0
|
82 |
+
jupyterlab_pygments=0.1.2=py_0
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83 |
+
jupyterlab_server=2.25.1=py312h06a4308_0
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84 |
+
jupyterlab_widgets=3.0.10=py312h06a4308_0
|
85 |
+
kaleido=0.2.1=pypi_0
|
86 |
+
kiwisolver=1.4.4=py312h6a678d5_0
|
87 |
+
kmodes=0.12.2=pypi_0
|
88 |
+
krb5=1.20.1=h143b758_1
|
89 |
+
lame=3.100=h7b6447c_0
|
90 |
+
lcms2=2.12=h3be6417_0
|
91 |
+
ld_impl_linux-64=2.38=h1181459_1
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92 |
+
lerc=3.0=h295c915_0
|
93 |
+
libblas=3.9.0=1_h86c2bf4_netlib
|
94 |
+
libbrotlicommon=1.0.9=h5eee18b_8
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95 |
+
libbrotlidec=1.0.9=h5eee18b_8
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96 |
+
libbrotlienc=1.0.9=h5eee18b_8
|
97 |
+
libcblas=3.9.0=6_ha36c22a_netlib
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98 |
+
libclang=14.0.6=default_hc6dbbc7_1
|
99 |
+
libclang13=14.0.6=default_he11475f_1
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100 |
+
libcublas=11.11.3.6=0
|
101 |
+
libcufft=10.9.0.58=0
|
102 |
+
libcufile=1.9.1.3=0
|
103 |
+
libcups=2.4.2=h2d74bed_1
|
104 |
+
libcurand=10.3.5.147=0
|
105 |
+
libcusolver=11.4.1.48=0
|
106 |
+
libcusparse=11.7.5.86=0
|
107 |
+
libdeflate=1.17=h5eee18b_1
|
108 |
+
libedit=3.1.20230828=h5eee18b_0
|
109 |
+
libexpat=2.6.2=h59595ed_0
|
110 |
+
libffi=3.4.4=h6a678d5_1
|
111 |
+
libgcc-ng=14.1.0=h77fa898_0
|
112 |
+
libgfortran-ng=14.1.0=h69a702a_0
|
113 |
+
libgfortran5=14.1.0=hc5f4f2c_0
|
114 |
+
libglib=2.78.4=hdc74915_0
|
115 |
+
libgomp=14.1.0=h77fa898_0
|
116 |
+
libiconv=1.16=h5eee18b_3
|
117 |
+
libidn2=2.3.4=h5eee18b_0
|
118 |
+
libjpeg-turbo=2.0.0=h9bf148f_0
|
119 |
+
liblapack=3.9.0=6_ha36c22a_netlib
|
120 |
+
libllvm14=14.0.6=hdb19cb5_3
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121 |
+
libnpp=11.8.0.86=0
|
122 |
+
libnsl=2.0.1=hd590300_0
|
123 |
+
libnvjpeg=11.9.0.86=0
|
124 |
+
libpng=1.6.39=h5eee18b_0
|
125 |
+
libpq=12.17=hdbd6064_0
|
126 |
+
libsodium=1.0.18=h7b6447c_0
|
127 |
+
libsqlite=3.46.0=hde9e2c9_0
|
128 |
+
libstdcxx-ng=14.1.0=hc0a3c3a_0
|
129 |
+
libtasn1=4.19.0=h5eee18b_0
|
130 |
+
libtiff=4.5.1=h6a678d5_0
|
131 |
+
libunistring=0.9.10=h27cfd23_0
|
132 |
+
libuuid=2.38.1=h0b41bf4_0
|
133 |
+
libwebp-base=1.3.2=h5eee18b_0
|
134 |
+
libxcb=1.15=h7f8727e_0
|
135 |
+
libxcrypt=4.4.36=hd590300_1
|
136 |
+
libxgboost=2.1.1=cuda118_h09a87be_1
|
137 |
+
libxkbcommon=1.0.1=h5eee18b_1
|
138 |
+
libxml2=2.10.4=hfdd30dd_2
|
139 |
+
libzlib=1.2.13=h4ab18f5_6
|
140 |
+
lightgbm=4.5.0=pypi_0
|
141 |
+
llvm-openmp=14.0.6=h9e868ea_0
|
142 |
+
llvmlite=0.43.0=py312h6a678d5_0
|
143 |
+
lofo-importance=0.3.4=pypi_0
|
144 |
+
lz4-c=1.9.4=h6a678d5_1
|
145 |
+
markupsafe=2.1.3=py312h5eee18b_0
|
146 |
+
matplotlib=3.8.4=py312h06a4308_0
|
147 |
+
matplotlib-base=3.8.4=py312h526ad5a_0
|
148 |
+
matplotlib-inline=0.1.6=py312h06a4308_0
|
149 |
+
mistune=2.0.4=py312h06a4308_0
|
150 |
+
mkl=2023.1.0=h213fc3f_46344
|
151 |
+
mkl-service=2.4.0=py312h5eee18b_1
|
152 |
+
mkl_fft=1.3.8=py312h5eee18b_0
|
153 |
+
mkl_random=1.2.4=py312hdb19cb5_0
|
154 |
+
mpmath=1.3.0=py312h06a4308_0
|
155 |
+
mysql=5.7.24=h721c034_2
|
156 |
+
nbclient=0.8.0=py312h06a4308_0
|
157 |
+
nbconvert=7.10.0=py312h06a4308_0
|
158 |
+
nbformat=5.9.2=py312h06a4308_0
|
159 |
+
nccl=2.22.3.1=hee583db_1
|
160 |
+
ncurses=6.4=h6a678d5_0
|
161 |
+
nest-asyncio=1.6.0=py312h06a4308_0
|
162 |
+
nettle=3.7.3=hbbd107a_1
|
163 |
+
networkx=3.3=py312h06a4308_0
|
164 |
+
notebook=7.0.8=py312h06a4308_2
|
165 |
+
notebook-shim=0.2.3=py312h06a4308_0
|
166 |
+
numba=0.60.0=py312h83e6fd3_0
|
167 |
+
numexpr=2.8.7=py312hf827012_0
|
168 |
+
numpy=1.26.4=py312hc5e2394_0
|
169 |
+
numpy-base=1.26.4=py312h0da6c21_0
|
170 |
+
openh264=2.1.1=h4ff587b_0
|
171 |
+
openjpeg=2.4.0=h9ca470c_2
|
172 |
+
openssl=3.3.1=h4bc722e_2
|
173 |
+
overrides=7.4.0=py312h06a4308_0
|
174 |
+
packaging=24.1=py312h06a4308_0
|
175 |
+
pandas=2.2.2=py312h526ad5a_0
|
176 |
+
pandocfilters=1.5.0=pyhd3eb1b0_0
|
177 |
+
parso=0.8.3=pyhd3eb1b0_0
|
178 |
+
pcre2=10.42=hebb0a14_1
|
179 |
+
pexpect=4.8.0=pyhd3eb1b0_3
|
180 |
+
pillow=10.4.0=py312h5eee18b_0
|
181 |
+
pip=24.0=py312h06a4308_0
|
182 |
+
platformdirs=3.10.0=py312h06a4308_0
|
183 |
+
plotly=5.23.0=pypi_0
|
184 |
+
ply=3.11=py312h06a4308_1
|
185 |
+
prometheus_client=0.14.1=py312h06a4308_0
|
186 |
+
prompt-toolkit=3.0.43=py312h06a4308_0
|
187 |
+
prompt_toolkit=3.0.43=hd3eb1b0_0
|
188 |
+
psutil=6.0.0=pypi_0
|
189 |
+
ptyprocess=0.7.0=pyhd3eb1b0_2
|
190 |
+
pure_eval=0.2.2=pyhd3eb1b0_0
|
191 |
+
py-xgboost=2.1.1=cuda118_pyhf54b869_1
|
192 |
+
py-xgboost-gpu=2.1.1=pyh98e67c5_1
|
193 |
+
pycparser=2.21=pyhd3eb1b0_0
|
194 |
+
pygments=2.15.1=py312h06a4308_1
|
195 |
+
pyparsing=3.0.9=py312h06a4308_0
|
196 |
+
pyqt=5.15.10=py312h6a678d5_0
|
197 |
+
pyqt5-sip=12.13.0=py312h5eee18b_0
|
198 |
+
pysocks=1.7.1=py312h06a4308_0
|
199 |
+
python=3.12.2=hab00c5b_0_cpython
|
200 |
+
python-dateutil=2.9.0post0=py312h06a4308_2
|
201 |
+
python-fastjsonschema=2.16.2=py312h06a4308_0
|
202 |
+
python-json-logger=2.0.7=py312h06a4308_0
|
203 |
+
python-tzdata=2023.3=pyhd3eb1b0_0
|
204 |
+
python_abi=3.12=4_cp312
|
205 |
+
pytorch=2.4.0=py3.12_cuda11.8_cudnn9.1.0_0
|
206 |
+
pytorch-cuda=11.8=h7e8668a_5
|
207 |
+
pytorch-mutex=1.0=cuda
|
208 |
+
pytz=2024.1=py312h06a4308_0
|
209 |
+
pyyaml=6.0.1=py312h5eee18b_0
|
210 |
+
pyzmq=25.1.2=py312h6a678d5_0
|
211 |
+
qt-main=5.15.2=h53bd1ea_10
|
212 |
+
qtconsole=5.5.1=py312h06a4308_0
|
213 |
+
qtpy=2.4.1=py312h06a4308_0
|
214 |
+
readline=8.2=h5eee18b_0
|
215 |
+
referencing=0.30.2=py312h06a4308_0
|
216 |
+
requests=2.32.3=py312h06a4308_0
|
217 |
+
rfc3339-validator=0.1.4=py312h06a4308_0
|
218 |
+
rfc3986-validator=0.1.1=py312h06a4308_0
|
219 |
+
rpds-py=0.10.6=py312hb02cf49_0
|
220 |
+
scikit-learn=1.5.1=py312h775a589_0
|
221 |
+
scipy=1.14.0=py312hc2bc53b_1
|
222 |
+
seaborn=0.13.2=pypi_0
|
223 |
+
send2trash=1.8.2=py312h06a4308_0
|
224 |
+
setuptools=69.5.1=py312h06a4308_0
|
225 |
+
shap=0.45.1=cpu_py312h28877aa_0
|
226 |
+
sip=6.7.12=py312h6a678d5_0
|
227 |
+
six=1.16.0=pyhd3eb1b0_1
|
228 |
+
slicer=0.0.8=pyhd8ed1ab_0
|
229 |
+
sniffio=1.3.0=py312h06a4308_0
|
230 |
+
soupsieve=2.5=py312h06a4308_0
|
231 |
+
sqlite=3.45.3=h5eee18b_0
|
232 |
+
stack_data=0.2.0=pyhd3eb1b0_0
|
233 |
+
sympy=1.12=py312h06a4308_0
|
234 |
+
tbb=2021.8.0=hdb19cb5_0
|
235 |
+
tenacity=9.0.0=pypi_0
|
236 |
+
terminado=0.17.1=py312h06a4308_0
|
237 |
+
threadpoolctl=3.5.0=pyhc1e730c_0
|
238 |
+
tinycss2=1.2.1=py312h06a4308_0
|
239 |
+
tk=8.6.14=h39e8969_0
|
240 |
+
torchaudio=2.4.0=py312_cu118
|
241 |
+
torchtriton=3.0.0=py312
|
242 |
+
torchvision=0.19.0=py312_cu118
|
243 |
+
tornado=6.4.1=py312h5eee18b_0
|
244 |
+
tqdm=4.66.5=pyhd8ed1ab_0
|
245 |
+
traitlets=5.14.3=py312h06a4308_0
|
246 |
+
typing-extensions=4.11.0=py312h06a4308_0
|
247 |
+
typing_extensions=4.11.0=py312h06a4308_0
|
248 |
+
tzdata=2024a=h04d1e81_0
|
249 |
+
unicodedata2=15.1.0=py312h5eee18b_0
|
250 |
+
urllib3=2.2.2=py312h06a4308_0
|
251 |
+
wcwidth=0.2.5=pyhd3eb1b0_0
|
252 |
+
webencodings=0.5.1=py312h06a4308_2
|
253 |
+
websocket-client=1.8.0=py312h06a4308_0
|
254 |
+
wheel=0.43.0=py312h06a4308_0
|
255 |
+
widgetsnbextension=4.0.10=py312h06a4308_0
|
256 |
+
xz=5.4.6=h5eee18b_1
|
257 |
+
yaml=0.2.5=h7b6447c_0
|
258 |
+
zeromq=4.3.5=h6a678d5_0
|
259 |
+
zlib=1.2.13=h4ab18f5_6
|
260 |
+
zstd=1.5.5=hc292b87_2
|