Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub / EdoardoGruppi / IoT_Assignment
This project aims to analyze and model the information retrieved by a real-world IoT system in order to understand which are the relationships in the dataset chosen between the dependent variables and the selected target feature. To help the understanding of the inner working of the models adopted, several machine learning interpretability techniques are exploited.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/EdoardoGruppi%2FIoT_Assignment
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 684 KB
Dependencies:
156
Created: over 3 years ago
Updated: about 3 years ago
Last pushed: about 3 years ago
Last synced: about 2 months ago
Topics: exploratory-data-analysis, ice, internet-of-things, lightgbm-regressor, lime, partial-dependence-plots, random-forest-regression, regression, shap, surrogate-trees, xgboost-regression
Files
Dependencies
- argon2-cffi =20.1.0=py36h2bbff1b_1
- async_generator =1.10=py36h28b3542_0
- attrs =20.3.0=pyhd3eb1b0_0
- backcall =0.2.0=pyhd3eb1b0_0
- blas =1.0=mkl
- bleach =3.3.0=pyhd3eb1b0_0
- brotli-python =1.0.9=py36h82bb817_2
- ca-certificates =2021.1.19=haa95532_1
- certifi =2020.12.5=py36haa95532_0
- cffi =1.14.5=py36hcd4344a_0
- click =7.1.2=pyhd3eb1b0_0
- cloudpickle =1.6.0=pypi_0
- colorama =0.4.4=pyhd3eb1b0_0
- cycler =0.10.0=py36haa95532_0
- cython =0.29.17=pypi_0
- dash =1.19.0=pyhd3eb1b0_0
- dash-bootstrap-components =0.11.3=pypi_0
- dash-core-components =1.15.0=pypi_0
- dash-html-components =1.1.2=pypi_0
- dash-renderer =1.9.0=pypi_0
- dash-table =4.11.2=pypi_0
- decorator =4.4.2=pyhd3eb1b0_0
- defusedxml =0.7.1=pyhd3eb1b0_0
- entrypoints =0.3=py36_0
- flask =1.1.2=pyhd3eb1b0_0
- flask-compress =1.9.0=pyhd3eb1b0_0
- freetype =2.10.4=hd328e21_0
- future =0.18.2=py36_1
- graphviz =2.38=hfd603c8_2
- ibm-db =3.0.3=pypi_0
- icc_rt =2019.0.0=h0cc432a_1
- icu =58.2=ha925a31_3
- imageio =2.9.0=pypi_0
- importlib-metadata =2.0.0=py_1
- importlib_metadata =2.0.0=1
- intel-openmp =2020.2=254
- ipykernel =5.3.4=py36h5ca1d4c_0
- ipython =7.16.1=py36h5ca1d4c_0
- ipython_genutils =0.2.0=pyhd3eb1b0_1
- ipywidgets =7.6.3=pyhd3eb1b0_1
- itsdangerous =1.1.0=py36_0
- jedi =0.18.0=pypi_0
- jinja2 =2.11.3=pyhd3eb1b0_0
- joblib =1.0.1=pyhd3eb1b0_0
- jpeg =9b=hb83a4c4_2
- jsonschema =3.2.0=py_2
- jupyter =1.0.0=py36_7
- jupyter_client =6.1.7=py_0
- jupyter_console =6.2.0=py_0
- jupyter_core =4.7.1=py36haa95532_0
- jupyterlab_pygments =0.1.2=py_0
- jupyterlab_widgets =1.0.0=pyhd3eb1b0_1
- kiwisolver =1.3.1=py36hd77b12b_0
- libpng =1.6.37=h2a8f88b_0
- libsodium =1.0.18=h62dcd97_0
- libtiff =4.1.0=h56a325e_1
- lightgbm =3.1.1=py36hd77b12b_0
- lime =0.2.0.1=pypi_0
- llvmlite =0.35.0=pypi_0
- lz4-c =1.9.3=h2bbff1b_0
- m2w64-gcc-libgfortran =5.3.0=6
- m2w64-gcc-libs =5.3.0=7
- m2w64-gcc-libs-core =5.3.0=7
- m2w64-gmp =6.1.0=2
- m2w64-libwinpthread-git =5.0.0.4634.697f757=2
- markupsafe =1.1.1=py36he774522_0
- matplotlib =3.3.2=haa95532_0
- matplotlib-base =3.3.2=py36hba9282a_0
- mistune =0.8.4=py36he774522_0
- mkl =2020.2=256
- mkl-service =2.3.0=py36h196d8e1_0
- mkl_fft =1.3.0=py36h46781fe_0
- mkl_random =1.1.1=py36h47e9c7a_0
- msys2-conda-epoch =20160418=1
- nbclient =0.5.3=pyhd3eb1b0_0
- nbconvert =6.0.7=py36_0
- nbformat =5.1.2=pyhd3eb1b0_1
- nest-asyncio =1.5.1=pyhd3eb1b0_0
- networkx =2.5=pypi_0
- notebook =6.2.0=py36haa95532_0
- numba =0.52.0=pypi_0
- numpy =1.19.2=py36hadc3359_0
- numpy-base =1.19.2=py36ha3acd2a_0
- olefile =0.46=py36_0
- openssl =1.1.1j=h2bbff1b_0
- packaging =20.9=pyhd3eb1b0_0
- pandas =1.1.3=py36ha925a31_0
- pandoc =2.11=h9490d1a_0
- pandocfilters =1.4.3=py36haa95532_1
- parso =0.8.1=pyhd3eb1b0_0
- patsy =0.5.1=py36_0
- pdpbox =0.2.0=pypi_0
- pickleshare =0.7.5=pyhd3eb1b0_1003
- pillow =8.1.2=py36h4fa10fc_0
- pip =21.0.1=py36haa95532_0
- plotly =4.14.3=pyhd3eb1b0_0
- pmdarima =1.8.0=pypi_0
- prometheus_client =0.9.0=pyhd3eb1b0_0
- prompt-toolkit =3.0.16=pypi_0
- prompt_toolkit =3.0.8=0
- psutil =5.8.0=pypi_0
- pycparser =2.20=py_2
- pygments =2.8.1=pyhd3eb1b0_0
- pyparsing =2.4.7=pyhd3eb1b0_0
- pyqt =5.9.2=py36h6538335_2
- pyrsistent =0.17.3=py36he774522_0
- python =3.6.12=h5500b2f_2
- python-dateutil =2.8.1=pyhd3eb1b0_0
- python-graphviz =0.16=pyhd3eb1b0_1
- pytz =2021.1=pyhd3eb1b0_0
- pywavelets =1.1.1=pypi_0
- pywin32 =227=py36he774522_1
- pywinpty =0.5.7=py36_0
- pyyaml =5.4.1=py36h2bbff1b_1
- pyzmq =20.0.0=py36hd77b12b_1
- qt =5.9.7=vc14h73c81de_0
- qtconsole =5.0.2=pyhd3eb1b0_0
- qtpy =1.9.0=py_0
- retrying =1.3.3=py36_2
- scikit-image =0.17.2=pypi_0
- scikit-learn =0.24.1=py36hf11a4ad_0
- scipy =1.5.2=py36h9439919_0
- seaborn =0.11.1=pyhd3eb1b0_0
- send2trash =1.5.0=pyhd3eb1b0_1
- setuptools =52.0.0=py36haa95532_0
- shap =0.38.1=pypi_0
- sip =4.19.8=py36h6538335_0
- six =1.15.0=py36haa95532_0
- slicer =0.0.7=pypi_0
- sqlite =3.33.0=h2a8f88b_0
- statsmodels =0.12.1=py36h2bbff1b_0
- terminado =0.9.2=py36haa95532_0
- testpath =0.4.4=pyhd3eb1b0_0
- threadpoolctl =2.1.0=pyh5ca1d4c_0
- tifffile =2020.9.3=pypi_0
- tk =8.6.10=he774522_0
- tornado =6.1=py36h2bbff1b_0
- tqdm =4.57.0=pypi_0
- traitlets =4.3.3=py36_0
- urllib3 =1.26.3=pypi_0
- vc =14.2=h21ff451_1
- vs2015_runtime =14.27.29016=h5e58377_2
- wcwidth =0.2.5=py_0
- webencodings =0.5.1=py36_1
- werkzeug =1.0.1=pyhd3eb1b0_0
- wheel =0.36.2=pyhd3eb1b0_0
- widgetsnbextension =3.5.1=py36_0
- wincertstore =0.2=py36h7fe50ca_0
- winpty =0.4.3=4
- xgboost =1.3.3=pypi_0
- xz =5.2.5=h62dcd97_0
- yaml =0.2.5=he774522_0
- zeromq =4.3.3=ha925a31_3
- zipp =3.4.0=pyhd3eb1b0_0
- zlib =1.2.11=h62dcd97_4
- zstd =1.4.5=h04227a9_0