Подгрузка ноутбука в репу, обновление README

.ipynb_checkpoints/requirements-checkpoint.txt

@@ -0,0 +1,114 @@
+anyio==4.9.0
+argon2-cffi==23.1.0
+argon2-cffi-bindings==21.2.0
+arrow==1.3.0
+asttokens==3.0.0
+async-lru==2.0.5
+attrs==25.3.0
+babel==2.17.0
+beautifulsoup4==4.13.4
+bleach==6.2.0
+certifi==2025.4.26
+cffi==1.17.1
+charset-normalizer==3.4.2
+colorama==0.4.6
+comm==0.2.2
+contourpy==1.3.2
+cycler==0.12.1
+debugpy==1.8.14
+decorator==5.2.1
+defusedxml==0.7.1
+executing==2.2.0
+fastjsonschema==2.21.1
+fonttools==4.58.0
+fqdn==1.5.1
+h11==0.16.0
+httpcore==1.0.9
+httpx==0.28.1
+idna==3.10
+ipykernel==6.29.5
+ipython==9.2.0
+ipython_pygments_lexers==1.1.1
+isoduration==20.11.0
+jedi==0.19.2
+Jinja2==3.1.6
+joblib==1.5.0
+json5==0.12.0
+jsonpointer==3.0.0
+jsonschema==4.23.0
+jsonschema-specifications==2025.4.1
+jupyter-events==0.12.0
+jupyter-lsp==2.2.5
+jupyter_client==8.6.3
+jupyter_core==5.7.2
+jupyter_server==2.16.0
+jupyter_server_terminals==0.5.3
+jupyterlab==4.4.2
+jupyterlab_pygments==0.3.0
+jupyterlab_server==2.27.3
+kiwisolver==1.4.8
+liac-arff==2.5.0
+MarkupSafe==3.0.2
+matplotlib==3.10.3
+matplotlib-inline==0.1.7
+minio==7.2.15
+mistune==3.1.3
+nbclient==0.10.2
+nbconvert==7.16.6
+nbformat==5.10.4
+nest-asyncio==1.6.0
+notebook_shim==0.2.4
+numpy==2.2.5
+openml==0.15.1
+overrides==7.7.0
+packaging==25.0
+pandas==2.2.3
+pandocfilters==1.5.1
+parso==0.8.4
+pillow==11.2.1
+platformdirs==4.3.8
+prometheus_client==0.21.1
+prompt_toolkit==3.0.51
+psutil==7.0.0
+pure_eval==0.2.3
+pyarrow==20.0.0
+pycparser==2.22
+pycryptodome==3.22.0
+Pygments==2.19.1
+pyparsing==3.2.3
+python-dateutil==2.9.0.post0
+python-json-logger==3.3.0
+pytz==2025.2
+pywin32==310
+pywinpty==2.0.15
+PyYAML==6.0.2
+pyzmq==26.4.0
+referencing==0.36.2
+requests==2.32.3
+rfc3339-validator==0.1.4
+rfc3986-validator==0.1.1
+rpds-py==0.24.0
+scikit-learn==1.6.1
+scipy==1.15.3
+Send2Trash==1.8.3
+setuptools==80.4.0
+six==1.17.0
+sniffio==1.3.1
+soupsieve==2.7
+stack-data==0.6.3
+terminado==0.18.1
+threadpoolctl==3.6.0
+tinycss2==1.4.0
+tornado==6.4.2
+tqdm==4.67.1
+traitlets==5.14.3
+types-python-dateutil==2.9.0.20241206
+typing_extensions==4.13.2
+tzdata==2025.2
+uri-template==1.3.0
+urllib3==2.4.0
+wcwidth==0.2.13
+webcolors==24.11.1
+webencodings==0.5.1
+websocket-client==1.8.0
+xmltodict==0.14.2

README.md

@@ -1 +1,5 @@
-4е задание
+Используемый метод - Gaussian process classification (GPC) on iris dataset (https://scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html#sphx-glr-auto-examples-gaussian-process-plot-gpc-iris-py)
+
+Используемый синтетический датасет - Generated datasets - Single Label - "make_сlassification" - url: https://scikit-learn.org/stable/datasets/sample_generators.html
+
+Используемый реальный датасет - iris (https://www.openml.org/search?type=data&sort=runs&status=active&id=61)