Upload AutoGluon best predictor

learner.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df066e42c007c02c82827375f2772363a1ce6d19ab27a5cb45bf83dbcec41fd7
+size 6729

metadata.json

@@ -0,0 +1,736 @@
+{
+  "system": "Linux",
+  "version": "1.4.0",
+  "lite": false,
+  "py_version": "3.12",
+  "py_version_micro": "3.12.11",
+  "packages": {
+    "psutil": "5.9.5",
+    "setproctitle": "1.2.2",
+    "colorama": "0.4.6",
+    "types-setuptools": "80.9.0.20250822",
+    "requirements-parser": "0.9.0",
+    "setuptools": "75.2.0",
+    "pip": "24.1.2",
+    "nvidia-ml-py3": "7.352.0",
+    "nlpaug": "1.1.11",
+    "autogluon.common": "1.4.0",
+    "openxlab": "0.0.11",
+    "window_ops": "0.0.15",
+    "jmespath": "1.0.1",
+    "autogluon.timeseries": "1.4.0",
+    "nvidia-nccl-cu12": "2.26.2",
+    "gluonts": "0.16.2",
+    "catboost": "1.2.8",
+    "autogluon.multimodal": "1.4.0",
+    "torch": "2.7.1",
+    "pytorch-metric-learning": "2.8.1",
+    "pycryptodome": "3.23.0",
+    "nvidia-cudnn-cu12": "9.5.1.17",
+    "mlforecast": "0.14.0",
+    "einx": "0.3.0",
+    "adagio": "0.2.6",
+    "boto3": "1.40.35",
+    "colorful": "0.5.7",
+    "py-spy": "0.4.1",
+    "lightning-utilities": "0.15.2",
+    "opencensus-context": "0.1.3",
+    "torchvision": "0.22.1",
+    "fs": "2.4.16",
+    "tensorboardx": "2.6.4",
+    "autogluon.features": "1.4.0",
+    "optuna": "4.5.0",
+    "ray": "2.44.1",
+    "openmim": "0.3.9",
+    "jsonschema": "4.23.0",
+    "distlib": "0.4.0",
+    "evaluate": "0.4.6",
+    "pytorch-lightning": "2.5.5",
+    "pdf2image": "1.17.0",
+    "autogluon": "1.4.0",
+    "s3transfer": "0.14.0",
+    "seqeval": "1.2.2",
+    "autogluon.core": "1.4.0",
+    "nvidia-cusparselt-cu12": "0.6.3",
+    "utilsforecast": "0.2.11",
+    "transformers": "4.49.0",
+    "triad": "0.9.8",
+    "triton": "3.3.1",
+    "pytesseract": "0.3.13",
+    "statsforecast": "2.0.1",
+    "autogluon.tabular": "1.4.0",
+    "opencensus": "0.11.4",
+    "coreforecast": "0.0.16",
+    "lightning": "2.5.5",
+    "fugue": "0.9.1",
+    "model-index": "0.1.11",
+    "virtualenv": "20.34.0",
+    "timm": "1.0.3",
+    "opendatalab": "0.0.10",
+    "botocore": "1.40.35",
+    "torchmetrics": "1.7.4",
+    "colorlog": "6.9.0",
+    "loguru": "0.7.3",
+    "tokenizers": "0.21.4",
+    "appdirs": "1.4.4",
+    "ordered-set": "4.1.0",
+    "aiohttp-cors": "0.8.1",
+    "google-colab": "1.0.0",
+    "patsy": "1.0.1",
+    "fastprogress": "1.0.3",
+    "tabulate": "0.9.0",
+    "send2trash": "1.8.3",
+    "simsimd": "6.5.3",
+    "pyshp": "2.3.1",
+    "contourpy": "1.3.3",
+    "cuml-cu12": "25.6.0",
+    "py4j": "0.10.9.7",
+    "nvidia-nvtx-cu12": "12.6.77",
+    "google-generativeai": "0.8.5",
+    "python-multipart": "0.0.20",
+    "umap-learn": "0.5.9.post2",
+    "jupyter-leaflet": "0.20.0",
+    "aiofiles": "24.1.0",
+    "linkify-it-py": "2.0.3",
+    "terminado": "0.18.1",
+    "blis": "1.3.0",
+    "ydf": "0.13.0",
+    "cachetools": "5.5.2",
+    "opentelemetry-semantic-conventions": "0.57b0",
+    "osqp": "1.0.4",
+    "jaraco.functools": "4.3.0",
+    "sqlglot": "25.20.2",
+    "h2": "4.3.0",
+    "pytz": "2025.2",
+    "aiosignal": "1.4.0",
+    "yellowbrick": "1.5",
+    "jax-cuda12-pjrt": "0.5.3",
+    "google-auth-oauthlib": "1.2.2",
+    "wheel": "0.45.1",
+    "librosa": "0.11.0",
+    "toolz": "0.12.1",
+    "gin-config": "0.5.0",
+    "rsa": "4.9.1",
+    "wcwidth": "0.2.13",
+    "duckdb": "1.3.2",
+    "nbclient": "0.10.2",
+    "googleapis-common-protos": "1.70.0",
+    "thinc": "8.3.6",
+    "pyopenssl": "24.2.1",
+    "parsy": "2.1",
+    "arviz": "0.22.0",
+    "fastapi": "0.116.1",
+    "torchaudio": "2.8.0+cu126",
+    "wasabi": "1.1.3",
+    "jaxlib": "0.5.3",
+    "smmap": "5.0.2",
+    "yarl": "1.20.1",
+    "sentry-sdk": "2.37.1",
+    "networkx": "3.5",
+    "pyomo": "6.9.4",
+    "fastcore": "1.8.8",
+    "dask-cuda": "25.6.0",
+    "astropy-iers-data": "0.2025.9.8.0.36.17",
+    "jax-cuda12-plugin": "0.5.3",
+    "blobfile": "3.1.0",
+    "sqlalchemy-spanner": "1.16.0",
+    "textblob": "0.19.0",
+    "groovy": "0.1.2",
+    "safehttpx": "0.1.6",
+    "xarray-einstats": "0.9.1",
+    "jupyterlab_widgets": "3.0.15",
+    "gitdb": "4.0.12",
+    "frozendict": "2.4.6",
+    "etils": "1.13.0",
+    "marisa-trie": "1.3.1",
+    "soundfile": "0.13.1",
+    "music21": "9.3.0",
+    "google-genai": "1.34.0",
+    "jsonpickle": "4.1.1",
+    "flask": "3.1.2",
+    "requests-oauthlib": "2.0.0",
+    "grpclib": "0.4.8",
+    "soupsieve": "2.8",
+    "grpcio-status": "1.71.2",
+    "sqlparse": "0.5.3",
+    "wurlitzer": "3.1.1",
+    "uritemplate": "4.2.0",
+    "peft": "0.17.1",
+    "aiohappyeyeballs": "2.6.1",
+    "preshed": "3.0.10",
+    "google-auth": "2.38.0",
+    "tensorflow-metadata": "1.17.2",
+    "ptyprocess": "0.7.0",
+    "roman-numerals-py": "3.1.0",
+    "bigquery-magics": "0.10.3",
+    "jupyter-events": "0.12.0",
+    "jaraco.classes": "3.4.0",
+    "multiprocess": "0.70.16",
+    "google-crc32c": "1.7.1",
+    "geopy": "2.4.1",
+    "raft-dask-cu12": "25.6.0",
+    "treelite": "4.4.1",
+    "toml": "0.10.2",
+    "alabaster": "1.0.0",
+    "chex": "0.1.90",
+    "tensorflow-datasets": "4.9.9",
+    "ndindex": "1.10.0",
+    "wrapt": "1.17.3",
+    "imbalanced-learn": "0.14.0",
+    "pluggy": "1.6.0",
+    "rpds-py": "0.27.1",
+    "fonttools": "4.59.2",
+    "beartype": "0.21.0",
+    "gspread-dataframe": "4.0.0",
+    "mdurl": "0.1.2",
+    "termcolor": "3.1.0",
+    "dopamine_rl": "4.1.2",
+    "requests-toolbelt": "1.0.0",
+    "libcugraph-cu12": "25.6.0",
+    "google-cloud-audit-log": "0.3.2",
+    "defusedxml": "0.7.1",
+    "hf_transfer": "0.1.9",
+    "debugpy": "1.8.15",
+    "httpcore": "1.0.9",
+    "starlette": "0.47.3",
+    "glob2": "0.7",
+    "pydata-google-auth": "1.9.1",
+    "ipyparallel": "8.8.0",
+    "pandas": "2.2.2",
+    "bqplot": "0.12.45",
+    "zipp": "1.0.0",
+    "parso": "0.8.5",
+    "six": "1.16.0",
+    "ipython-sql": "0.5.0",
+    "mpmath": "1.3.0",
+    "keyrings.google-artifactregistry-auth": "1.1.2",
+    "openpyxl": "3.1.5",
+    "pytensor": "2.31.7",
+    "sphinxcontrib-applehelp": "2.0.0",
+    "filelock": "3.19.1",
+    "text-unidecode": "1.3",
+    "gym": "0.25.2",
+    "peewee": "3.18.2",
+    "sniffio": "1.3.1",
+    "imutils": "0.5.4",
+    "dm-tree": "0.1.9",
+    "importlib_metadata": "8.7.0",
+    "multidict": "6.6.4",
+    "bigframes": "2.19.0",
+    "et_xmlfile": "2.0.0",
+    "pyarrow": "18.1.0",
+    "albucore": "0.0.24",
+    "pylibcugraph-cu12": "25.6.0",
+    "geemap": "0.35.3",
+    "catalogue": "2.0.10",
+    "ipython": "7.34.0",
+    "promise": "2.3",
+    "tensorflow_decision_forests": "1.12.0",
+    "ucxx-cu12": "0.44.0",
+    "secretstorage": "3.3.1",
+    "numpy": "2.0.2",
+    "typer": "0.17.4",
+    "optax": "0.2.5",
+    "google-cloud-secret-manager": "2.24.0",
+    "pydantic_core": "2.33.2",
+    "python-utils": "3.9.1",
+    "absl-py": "1.4.0",
+    "pycairo": "1.28.0",
+    "autograd": "1.8.0",
+    "safetensors": "0.6.2",
+    "tensorflow-probability": "0.25.0",
+    "mkl": "2025.2.0",
+    "build": "1.3.0",
+    "opentelemetry-exporter-gcp-trace": "1.9.0",
+    "dask": "2025.5.0",
+    "gdown": "5.2.0",
+    "webencodings": "0.5.1",
+    "gradio": "5.44.1",
+    "sphinxcontrib-serializinghtml": "2.0.0",
+    "db-dtypes": "1.4.3",
+    "fqdn": "1.5.1",
+    "libcuml-cu12": "25.6.0",
+    "attrs": "25.3.0",
+    "pyasn1": "0.6.1",
+    "typeguard": "4.4.4",
+    "torchsummary": "1.5.1",
+    "holidays": "0.80",
+    "opentelemetry-resourcedetector-gcp": "1.9.0a0",
+    "python-slugify": "8.0.4",
+    "dataproc-spark-connect": "0.8.3",
+    "cramjam": "2.11.0",
+    "pyproject_hooks": "1.2.0",
+    "kagglehub": "0.3.13",
+    "authlib": "1.6.3",
+    "google-adk": "1.13.0",
+    "prometheus_client": "0.22.1",
+    "requests": "2.32.4",
+    "pyogrio": "0.11.1",
+    "scikit-image": "0.25.2",
+    "nbclassic": "1.3.2",
+    "stanio": "0.5.1",
+    "google-cloud-spanner": "3.57.0",
+    "google-resumable-media": "2.7.2",
+    "sentencepiece": "0.2.1",
+    "flax": "0.10.6",
+    "libkvikio-cu12": "25.6.0",
+    "sentence-transformers": "5.1.0",
+    "google-api-core": "2.25.1",
+    "fastdownload": "0.0.7",
+    "python-json-logger": "3.3.0",
+    "clarabel": "0.11.1",
+    "h5py": "3.14.0",
+    "cachecontrol": "0.14.3",
+    "libucx-cu12": "1.18.1",
+    "docstring_parser": "0.17.0",
+    "immutabledict": "4.2.1",
+    "scikit-learn": "1.6.1",
+    "aiohttp": "3.12.15",
+    "lazy_loader": "0.4",
+    "umf": "0.11.0",
+    "tornado": "6.4.2",
+    "types-python-dateutil": "2.9.0.20250822",
+    "pycparser": "2.23",
+    "tensorstore": "0.1.76",
+    "pygit2": "1.18.2",
+    "pyopengl": "3.1.10",
+    "libucxx-cu12": "0.44.0",
+    "google-cloud-translate": "3.21.1",
+    "dlib": "19.24.6",
+    "pickleshare": "0.7.5",
+    "pexpect": "4.9.0",
+    "webcolors": "24.11.1",
+    "sphinx": "8.2.3",
+    "alembic": "1.16.5",
+    "ucx-py-cu12": "0.44.0",
+    "pandocfilters": "1.5.1",
+    "propcache": "0.3.2",
+    "ipyleaflet": "0.20.0",
+    "colorcet": "3.1.0",
+    "fsspec": "2025.3.0",
+    "tf-slim": "1.1.0",
+    "namex": "0.1.0",
+    "libcudf-cu12": "25.6.0",
+    "matplotlib-inline": "0.1.7",
+    "google-cloud-storage": "2.19.0",
+    "click": "8.2.1",
+    "google-cloud-dataproc": "5.21.0",
+    "gspread": "6.2.1",
+    "audioread": "3.0.1",
+    "tensorflow-hub": "0.16.1",
+    "google-cloud-logging": "3.12.1",
+    "google-cloud-bigquery-storage": "2.33.0",
+    "pylibraft-cu12": "25.6.0",
+    "httpx-sse": "0.4.1",
+    "brotli": "1.1.0",
+    "google-pasta": "0.2.0",
+    "gdal": "3.8.4",
+    "cudf-cu12": "25.6.0",
+    "lightgbm": "4.6.0",
+    "jaraco.context": "6.0.1",
+    "shapely": "2.1.1",
+    "msgpack": "1.1.1",
+    "spacy-legacy": "3.0.12",
+    "certifi": "2025.8.3",
+    "holoviews": "1.21.0",
+    "uri-template": "1.3.0",
+    "nest-asyncio": "1.6.0",
+    "pydantic-settings": "2.10.1",
+    "pydub": "0.25.1",
+    "werkzeug": "3.1.3",
+    "platformdirs": "4.4.0",
+    "tblib": "3.1.0",
+    "keras": "3.10.0",
+    "missingno": "0.5.2",
+    "rapids-dask-dependency": "25.6.0",
+    "multitasking": "0.0.12",
+    "overrides": "7.7.0",
+    "cffi": "2.0.0",
+    "decorator": "4.4.2",
+    "statsmodels": "0.14.5",
+    "google-cloud-bigquery-connection": "1.18.3",
+    "google-cloud-firestore": "2.21.0",
+    "jupyter_server": "2.14.0",
+    "widgetsnbextension": "3.6.10",
+    "pydotplus": "2.0.2",
+    "sphinxcontrib-devhelp": "2.0.0",
+    "charset-normalizer": "3.4.3",
+    "jiter": "0.10.0",
+    "libcuvs-cu12": "25.6.1",
+    "colour": "0.1.5",
+    "future": "1.0.0",
+    "entrypoints": "0.4",
+    "optree": "0.17.0",
+    "google-cloud-appengine-logging": "1.6.2",
+    "mdit-py-plugins": "0.5.0",
+    "wordcloud": "1.9.4",
+    "locket": "1.0.0",
+    "einops": "0.8.1",
+    "snowballstemmer": "3.0.1",
+    "tzlocal": "5.3.1",
+    "nltk": "3.9.1",
+    "rfc3339-validator": "0.1.4",
+    "pytest": "8.4.2",
+    "pysocks": "1.7.1",
+    "bottleneck": "1.4.2",
+    "etuples": "0.3.10",
+    "ml_dtypes": "0.5.3",
+    "ibis-framework": "9.5.0",
+    "prophet": "1.1.7",
+    "distributed-ucxx-cu12": "0.44.0",
+    "mako": "1.1.3",
+    "antlr4-python3-runtime": "4.9.3",
+    "treescope": "0.1.10",
+    "rmm-cu12": "25.6.0",
+    "pyviz_comms": "3.0.6",
+    "arrow": "1.3.0",
+    "portpicker": "1.5.2",
+    "nvidia-cublas-cu12": "12.6.4.1",
+    "sqlalchemy": "2.0.43",
+    "more-itertools": "8.10.0",
+    "python-louvain": "0.16",
+    "geocoder": "1.38.1",
+    "jupytext": "1.17.3",
+    "gast": "0.6.0",
+    "hpack": "4.1.0",
+    "dill": "0.3.8",
+    "branca": "0.8.1",
+    "bokeh": "3.7.3",
+    "absolufy-imports": "0.3.1",
+    "notebook": "6.5.7",
+    "pygame": "2.6.1",
+    "googledrivedownloader": "1.1.0",
+    "nvtx": "0.2.13",
+    "httpimport": "1.4.1",
+    "tweepy": "4.16.0",
+    "google": "2.0.3",
+    "natsort": "8.4.0",
+    "ffmpy": "0.6.1",
+    "pycocotools": "2.0.10",
+    "sphinxcontrib-jsmath": "1.0.1",
+    "markupsafe": "2.0.1",
+    "jupyter_kernel_gateway": "2.5.2",
+    "google-cloud-core": "2.4.3",
+    "greenlet": "3.2.4",
+    "google-api-python-client": "2.181.0",
+    "datasets": "4.0.0",
+    "pylibcudf-cu12": "25.6.0",
+    "cufflinks": "0.17.3",
+    "python-dateutil": "2.9.0.post0",
+    "cython": "3.0.12",
+    "stringzilla": "4.0.6",
+    "websockets": "15.0.1",
+    "rpy2": "3.5.17",
+    "jax": "0.5.3",
+    "mlxtend": "0.23.4",
+    "rfc3987-syntax": "1.1.0",
+    "tiktoken": "0.11.0",
+    "hf-xet": "1.1.9",
+    "numba-cuda": "0.11.0",
+    "smart_open": "7.3.1",
+    "plum-dispatch": "2.5.7",
+    "editdistance": "0.8.1",
+    "langcodes": "3.5.0",
+    "prettytable": "3.16.0",
+    "gcsfs": "2025.3.0",
+    "firebase-admin": "6.9.0",
+    "opentelemetry-sdk": "1.36.0",
+    "langsmith": "0.4.27",
+    "libclang": "18.1.1",
+    "eerepr": "0.1.2",
+    "jieba": "0.42.1",
+    "kaggle": "1.7.4.5",
+    "h5netcdf": "1.6.4",
+    "array_record": "0.8.1",
+    "vega-datasets": "0.9.0",
+    "partd": "1.4.2",
+    "oauth2client": "4.1.3",
+    "torchdata": "0.11.0",
+    "backcall": "0.2.0",
+    "mistune": "3.1.4",
+    "kiwisolver": "1.4.9",
+    "annotated-types": "0.7.0",
+    "argon2-cffi-bindings": "25.1.0",
+    "isoduration": "20.11.0",
+    "prompt_toolkit": "3.0.52",
+    "highspy": "1.11.0",
+    "nvidia-cuda-nvrtc-cu12": "12.6.77",
+    "albumentations": "2.0.8",
+    "psygnal": "0.14.1",
+    "notebook_shim": "0.2.4",
+    "nvidia-cuda-cupti-cu12": "12.6.80",
+    "beautifulsoup4": "4.13.5",
+    "bleach": "6.2.0",
+    "rfc3986-validator": "0.1.1",
+    "markdown": "3.3.6",
+    "pygments": "2.19.2",
+    "xyzservices": "2025.4.0",
+    "hdbscan": "0.8.40",
+    "flatbuffers": "25.2.10",
+    "iniconfig": "2.1.0",
+    "threadpoolctl": "3.6.0",
+    "cycler": "0.12.1",
+    "nvidia-cufft-cu12": "11.3.0.4",
+    "nibabel": "5.3.2",
+    "soxr": "1.0.0",
+    "pooch": "1.8.2",
+    "matplotlib": "3.10.0",
+    "orjson": "3.11.3",
+    "google-auth-httplib2": "0.2.0",
+    "referencing": "0.36.2",
+    "cudf-polars-cu12": "25.6.0",
+    "nvidia-cusparse-cu12": "12.5.4.2",
+    "huggingface-hub": "0.34.4",
+    "slicer": "0.0.8",
+    "scipy": "1.16.1",
+    "pandas-stubs": "2.2.2.240909",
+    "cuvs-cu12": "25.6.1",
+    "srsly": "2.5.1",
+    "google-cloud-resource-manager": "1.14.2",
+    "tcmlib": "1.4.0",
+    "mcp": "1.13.1",
+    "langchain": "0.3.27",
+    "jsonpatch": "1.33",
+    "zstandard": "0.24.0",
+    "scooby": "0.10.1",
+    "ratelim": "0.1.6",
+    "nvidia-ml-py": "12.575.51",
+    "cons": "0.4.7",
+    "colorlover": "0.3.0",
+    "logical-unification": "0.4.6",
+    "google-cloud-aiplatform": "1.111.0",
+    "fastrlock": "0.8.3",
+    "opencv-python-headless": "4.12.0.88",
+    "packaging": "25.0",
+    "nvidia-curand-cu12": "10.3.7.77",
+    "ale-py": "0.11.2",
+    "matplotlib-venn": "1.1.2",
+    "cmdstanpy": "1.2.5",
+    "yfinance": "0.2.65",
+    "google-cloud-speech": "2.33.0",
+    "graphviz": "0.21",
+    "gym-notices": "0.1.0",
+    "proglog": "0.1.12",
+    "nbformat": "5.10.4",
+    "distro": "1.7.0",
+    "typing_extensions": "4.15.0",
+    "astunparse": "1.6.3",
+    "ipyevents": "2.0.2",
+    "intel-cmplr-lib-ur": "2025.2.1",
+    "community": "1.0.0b1",
+    "nvidia-cufile-cu12": "1.11.1.6",
+    "xarray": "2025.9.0",
+    "xlrd": "2.0.2",
+    "babel": "2.17.0",
+    "atpublic": "5.1",
+    "ply": "3.11",
+    "joblib": "1.5.2",
+    "jupyterlab_pygments": "0.3.0",
+    "tables": "3.10.2",
+    "numexpr": "2.11.0",
+    "opt_einsum": "3.4.0",
+    "narwhals": "2.4.0",
+    "jupyter_server_terminals": "0.5.3",
+    "en_core_web_sm": "3.8.0",
+    "zict": "3.0.0",
+    "seaborn": "0.13.2",
+    "pydrive2": "1.21.3",
+    "astropy": "7.1.0",
+    "spacy-loggers": "1.0.5",
+    "pydantic": "2.11.7",
+    "pymc": "5.25.1",
+    "importlib_resources": "6.5.2",
+    "hyperframe": "6.1.0",
+    "regex": "2024.11.6",
+    "shap": "0.48.0",
+    "python-snappy": "0.7.3",
+    "grpc-google-iam-v1": "0.14.2",
+    "spanner-graph-notebook": "1.1.8",
+    "tensorboard": "2.19.0",
+    "nvidia-cuda-nvcc-cu12": "12.5.82",
+    "panel": "1.8.0",
+    "sphinxcontrib-qthelp": "2.0.0",
+    "lxml": "5.4.0",
+    "torchtune": "0.6.1",
+    "tifffile": "2025.8.28",
+    "minikanren": "1.0.5",
+    "ruff": "0.12.12",
+    "ipykernel": "6.17.1",
+    "dask-cudf-cu12": "25.6.0",
+    "cloudpathlib": "0.22.0",
+    "omegaconf": "2.3.0",
+    "humanize": "4.13.0",
+    "progressbar2": "4.5.0",
+    "html5lib": "1.1",
+    "confection": "0.1.5",
+    "pynvml": "12.0.0",
+    "pyparsing": "2.4.7",
+    "libraft-cu12": "25.6.0",
+    "protobuf": "5.29.5",
+    "jupyter_core": "5.8.1",
+    "traitlets": "5.7.1",
+    "numba": "0.60.0",
+    "xxhash": "3.5.0",
+    "grpcio": "1.74.0",
+    "google-ai-generativelanguage": "0.6.15",
+    "anywidget": "0.9.18",
+    "orbax-checkpoint": "0.11.24",
+    "grpc-interceptor": "0.15.4",
+    "inflect": "7.5.0",
+    "jeepney": "0.7.1",
+    "cupy-cuda12x": "13.3.0",
+    "multipledispatch": "1.0.0",
+    "folium": "0.20.0",
+    "param": "2.2.1",
+    "nx-cugraph-cu12": "25.6.0",
+    "ipytree": "0.2.2",
+    "tzdata": "2025.2",
+    "altair": "5.5.0",
+    "earthengine-api": "1.5.24",
+    "traittypes": "0.2.1",
+    "pynndescent": "0.5.13",
+    "pyspark": "3.5.1",
+    "gitpython": "3.1.45",
+    "google-cloud-bigquery": "3.37.0",
+    "tensorflow-text": "2.19.0",
+    "pyjwt": "2.3.0",
+    "fastjsonschema": "2.21.2",
+    "librmm-cu12": "25.6.0",
+    "cvxopt": "1.3.2",
+    "sse-starlette": "3.0.2",
+    "blinker": "1.4",
+    "nvidia-cuda-runtime-cu12": "12.6.77",
+    "pygobject": "3.42.1",
+    "psycopg2": "2.9.10",
+    "opencv-python": "4.12.0.88",
+    "tf_keras": "2.19.0",
+    "nvidia-nvjitlink-cu12": "12.6.85",
+    "farama-notifications": "0.0.4",
+    "openai": "1.107.0",
+    "polars": "1.25.2",
+    "pyperclip": "1.9.0",
+    "keras-hub": "0.21.1",
+    "libpysal": "4.13.0",
+    "urllib3": "2.5.0",
+    "torchao": "0.10.0",
+    "tenacity": "8.5.0",
+    "sortedcontainers": "2.4.0",
+    "pyerfa": "2.0.1.5",
+    "murmurhash": "1.0.13",
+    "keyring": "23.5.0",
+    "itsdangerous": "2.2.0",
+    "pywavelets": "1.9.0",
+    "python-dotenv": "1.1.1",
+    "cmake": "3.31.6",
+    "simplejson": "3.20.1",
+    "chardet": "5.2.0",
+    "pyasn1_modules": "0.4.2",
+    "pandas-gbq": "0.29.2",
+    "rapids-logger": "0.1.1",
+    "cryptography": "3.4.8",
+    "websocket-client": "1.8.0",
+    "simple-parsing": "0.1.7",
+    "langchain-text-splitters": "0.3.11",
+    "xgboost": "3.0.5",
+    "jsonpointer": "3.0.0",
+    "google-cloud-language": "2.17.2",
+    "oauthlib": "3.2.0",
+    "cloudpickle": "3.1.1",
+    "betterproto": "2.0.0b6",
+    "h11": "0.16.0",
+    "jinja2": "3.1.6",
+    "gradio_client": "1.12.1",
+    "lark": "1.2.2",
+    "pydot": "3.0.4",
+    "plotly": "5.24.1",
+    "geographiclib": "2.1",
+    "proto-plus": "1.26.1",
+    "cvxpy": "1.6.7",
+    "markdown-it-py": "4.0.0",
+    "pyzmq": "26.2.1",
+    "argon2-cffi": "25.1.0",
+    "pillow": "11.3.0",
+    "typing-inspection": "0.4.1",
+    "types-pytz": "2025.2.0.20250809",
+    "tsfresh": "0.21.1",
+    "sklearn-pandas": "2.2.0",
+    "pynvjitlink-cu12": "0.7.0",
+    "nvidia-cusolver-cu12": "11.7.1.2",
+    "ipyfilechooser": "0.6.0",
+    "python-box": "7.3.2",
+    "frozenlist": "1.7.0",
+    "ipywidgets": "7.7.1",
+    "tensorflow": "2.19.0",
+    "spacy": "3.8.7",
+    "imagesize": "1.4.1",
+    "httpx": "0.28.1",
+    "cyipopt": "1.5.0",
+    "imageio": "2.37.0",
+    "imageio-ffmpeg": "0.6.0",
+    "pycryptodomex": "3.23.0",
+    "sphinxcontrib-htmlhelp": "2.1.0",
+    "llvmlite": "0.43.0",
+    "distributed": "2025.5.0",
+    "cuda-python": "12.6.2.post1",
+    "ipython-genutils": "0.2.0",
+    "language_data": "1.3.0",
+    "tbb": "2022.2.0",
+    "tqdm": "4.67.1",
+    "pyyaml": "6.0.2",
+    "pyproj": "3.7.2",
+    "httplib2": "0.20.2",
+    "docutils": "0.21.2",
+    "wandb": "0.21.3",
+    "google-cloud-functions": "1.20.4",
+    "shellingham": "1.5.4",
+    "blosc2": "3.7.2",
+    "nbconvert": "7.16.6",
+    "py-cpuinfo": "9.0.0",
+    "tensorboard-data-server": "0.7.2",
+    "intel-openmp": "2025.2.1",
+    "cymem": "2.0.11",
+    "anyio": "4.10.0",
+    "mizani": "0.13.5",
+    "pandas-datareader": "0.10.0",
+    "diffusers": "0.35.1",
+    "easydict": "1.13",
+    "google-cloud-datastore": "2.21.0",
+    "watchdog": "6.0.0",
+    "idna": "3.10",
+    "weasel": "0.4.1",
+    "tinycss2": "1.4.0",
+    "keras-nlp": "0.21.1",
+    "rich": "13.9.4",
+    "accelerate": "1.10.1",
+    "jsonschema-specifications": "2025.9.1",
+    "tomlkit": "0.13.3",
+    "scs": "3.2.8",
+    "google-cloud-trace": "1.16.2",
+    "fastai": "2.8.4",
+    "gymnasium": "1.2.0",
+    "opentelemetry-api": "1.36.0",
+    "stumpy": "1.13.0",
+    "sympy": "1.13.3",
+    "fasttransform": "0.0.2",
+    "opencv-contrib-python": "4.12.0.88",
+    "plotnine": "0.14.5",
+    "hyperopt": "0.2.7",
+    "semantic-version": "2.10.0",
+    "jupyter-console": "6.6.3",
+    "uc-micro-py": "1.0.3",
+    "geopandas": "1.1.1",
+    "uvicorn": "0.35.0",
+    "google-cloud-bigtable": "2.32.0",
+    "curl_cffi": "0.13.0",
+    "jupyter_client": "7.4.9",
+    "moviepy": "1.0.3",
+    "langchain-core": "0.3.75",
+    "python-apt": "2.4.0+ubuntu4",
+    "launchpadlib": "1.10.16",
+    "importlib-metadata": "4.6.4",
+    "dbus-python": "1.2.18",
+    "wadllib": "1.3.6",
+    "lazr.uri": "1.0.6",
+    "lazr.restfulclient": "0.14.4"
+  }
+}

models/CatBoost_BAG_L1/S1F1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f6fc26d446d55b596ef2f1ad1da9c768a10a4918864016f8fa8f7c6a5e13ec6
+size 54010

models/CatBoost_BAG_L1/S1F2/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8a0da69410879a94b4c9ed6d01b78f31a6ad374afacad244683e778d647ccde0
+size 94047

models/CatBoost_BAG_L1/S1F3/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa26059248dc63261a600dd1d36c70b3378ddf7f93de860c0c72625d02e22ffc
+size 63038

models/CatBoost_BAG_L1/S1F4/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e10ac80d36e67b2208c4809e9f472d357b8f4061776e1fdb068d1178fabbeccf
+size 311671

models/CatBoost_BAG_L1/S1F5/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f2717d612dc1ba1bc8be66ba9cd3c9260bd214fef6d49426a162f4f99e272d4
+size 77335

models/CatBoost_BAG_L1/S1F6/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66eed93986a677a9a6b3a0c72c41bff054ecaea13e054644f9aa051b2d9fe93b
+size 157975

models/CatBoost_BAG_L1/S1F7/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d8b30ccf93f7a14b85d124806c077dbf82c7a29417a1b5d222f648c01e8c896
+size 48098

models/CatBoost_BAG_L1/S1F8/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ba657fe4382013d7debb21ee2ca5a9dda762c1d6ec567944cb57cf4146ae4ba
+size 371656

models/CatBoost_BAG_L1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bdadb511a1d9fe39edc16b834c433f125e15db4fe3498fc6ea270965c920ead2
+size 2947

models/CatBoost_BAG_L1/utils/model_template.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41f2a548aea2b2c3a8064e16a9cdfc0cd8dc3f242e26698cf94e74bc1f1f93ab
+size 963

models/CatBoost_BAG_L1/utils/oof.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:59a161a6342c10443a66a815261ea650b9bf54bd30d72135cc14a5ec3cf79a50
+size 2425

models/ExtraTreesEntr_BAG_L1/S1F1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc016b108e0c0602adb8b48d9c0393b009eae4f03b9a53cdb3bfdb9ecf79574c
+size 5298176

models/ExtraTreesEntr_BAG_L1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1b2a8694346c340d3f46986f26f1fd1bced8b361555d463eef05f204383ab8e
+size 2622

models/ExtraTreesEntr_BAG_L1/utils/model_template.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea4beb727b127d795bbf122a3855c75c12b4e3b4ff8d9a72905fb6aeb5c1699a
+size 1007

models/ExtraTreesEntr_BAG_L1/utils/oof.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ebf41e49a7e3a804a42fcbcb3172e8bd6cabb87cf93bd08eb443a3f0e14bb5c0
+size 1465

models/ExtraTreesGini_BAG_L1/S1F1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e4b3a41ca8b872ed89a442eee8311f22540cbbc0ce0d8e29428d4b6e60bdc6d
+size 5328085

models/ExtraTreesGini_BAG_L1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bbf8f998b39b3551aebc3cf1896675e7862fa7038f904e3e41886d2e1c6e4a6
+size 2622

models/ExtraTreesGini_BAG_L1/utils/model_template.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04445e5998685bf0f6cf14580a2e318aadd5433065f539bb11a15fd8f9ad148f
+size 1004

models/ExtraTreesGini_BAG_L1/utils/oof.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23f16495f0e2743b6d13d3690d93f7f3312f8fce79ee8ba589790552fdc65f21
+size 1465

models/LightGBMXT_BAG_L1/S1F1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a66619011ae3921373ea340adc529a91b2e131169dc19c4e2b1acbc910790dfa
+size 81089

models/LightGBMXT_BAG_L1/S1F2/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adc042aafd30ac494e471390ed807004f9b0c72da481c3ea76ae0933f0c3d2df
+size 344356

models/LightGBMXT_BAG_L1/S1F3/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3e314fedb6e21920e18503d31688336f72923ff5c2776cd11b46a8cf1437e31
+size 120493

models/LightGBMXT_BAG_L1/S1F4/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0ab5e322d116d364de19c006781f60801fa68dbba47641dcfb9d1f0a56924280
+size 30084

models/LightGBMXT_BAG_L1/S1F5/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f44a415202e3ad640100b0adcd616cfef339c5d2143d936a416aeefe1793060
+size 6532

models/LightGBMXT_BAG_L1/S1F6/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:854893873e57aaf07bef23ac8a6e1075630aebd4f34933178ef4233403295b82
+size 70406

models/LightGBMXT_BAG_L1/S1F7/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33a92efca2d0694935fa5dadcf34e22129a7d782d30a1536d42303ed492ea4fc
+size 46459

models/LightGBMXT_BAG_L1/S1F8/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f729a1b716dd09ae8a681729c6266adc257ac0baeb70562d6b95aa63585fcb2a
+size 6660

models/LightGBMXT_BAG_L1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c39302dc3eedcb6f56e4407720d270ee70f31b8b6b227cfe743492df9f359065
+size 2936

models/LightGBMXT_BAG_L1/utils/model_template.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ba3c6980d80d2e269e8f7f065b4a679f779c1bff8ccdf3e41feb7d1ba3e807e
+size 1014

models/LightGBMXT_BAG_L1/utils/oof.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec008b88111feef5b53ac2778c687704ac153a33fca9609ef510aaa41f980266
+size 2425

models/LightGBMXT_BAG_L2/S1F1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c29347777913de0f354c6f4dbaa56685300c6150abe2ae6d8e71cb5658dfd1f
+size 211753

models/LightGBMXT_BAG_L2/S1F2/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6a98eda9036733196b9e376f0e8ce9a8f0f3e42eade26bfc5117a733a12c9612
+size 54275

models/LightGBMXT_BAG_L2/S1F3/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cc289fd4acb4b9b76a610374e471e46eef0c2e33346034bbecf9b8890eb98262
+size 11280

models/LightGBMXT_BAG_L2/S1F4/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94cd68c45035847a2cddf5bb75af1a359f047995ae3238a9c5f16a1bb2027c7a
+size 116519

models/LightGBMXT_BAG_L2/S1F5/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:023449e24816ac3f94c86743244937d330790271bfc86ce96fb82eb684a2a7b1
+size 13807

models/LightGBMXT_BAG_L2/S1F6/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56518fab8b6d24d10b77b72b6dd10e087d7440bd4f6e7b664f99b3acd1efbd47
+size 27197

models/LightGBMXT_BAG_L2/S1F7/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c4f9bafd5195a380d55dd106b24876525bd4564f9baec7e9ecfe49e44f02618c
+size 87733

models/LightGBMXT_BAG_L2/S1F8/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f39c7e6b034c1f27cee44a4433851dcab7c8e647bba764308c8ae196a3f559d
+size 169034

models/LightGBMXT_BAG_L2/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f768d426e7c9732c80d4ab352df92eb0083fb286d80cb387f2ef0ec8aab878d5
+size 3871

models/LightGBMXT_BAG_L2/utils/model_template.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ba3c6980d80d2e269e8f7f065b4a679f779c1bff8ccdf3e41feb7d1ba3e807e
+size 1014

models/LightGBMXT_BAG_L2/utils/oof.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a135fc68a599df643cc41b3bc8c8b853810711b872dc14a1bb2835be66498837
+size 2425

models/LightGBM_BAG_L1/S1F1/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f80467ffcc8666ca6a63e29f107c72109efc1d47588601a9ac70991dd1631b7f
+size 195636

models/LightGBM_BAG_L1/S1F2/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e00c95e57710d054860a5bae7398835c9361661f5e61f9bbfef57422ee0ae62
+size 45611

models/LightGBM_BAG_L1/S1F3/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2827c1a27b501abe2566ed1d2667bb6806b0afdcb35564babe16d541401fdd11
+size 240956

models/LightGBM_BAG_L1/S1F4/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2c7ba2cfd165c2b897327184e9c8055bbf2ae6b284941321ec783ecb175d58d
+size 99140

models/LightGBM_BAG_L1/S1F5/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cc7806245e681724bf0ff60c2754761006bb5efbeeb29ec53d2bff2ec59f9c7
+size 9241

models/LightGBM_BAG_L1/S1F6/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c18774f9e1d6dcf6ac845ef59f2feb2c77c75f8de4eb12c2c904dd1287c05688
+size 35827

models/LightGBM_BAG_L1/S1F7/model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02137200d67cd7f4c4a2bd2a6807ed1a4eab9dd7a0d18145900cc2a0edc16b52
+size 19626