Wheelodex » Projects » mlforecast

mlforecast

View on PyPI — Reverse Dependencies (4)

0.12.1 mlforecast-0.12.1-py3-none-any.whl

Wheel Details

Project: mlforecast
Version: 0.12.1
Filename: mlforecast-0.12.1-py3-none-any.whl
Download: [link]
Size: 65188
MD5: 241e8fab9923b8d66d4bfdccfc982669
SHA256: 0763a85b1c6330877c3879266338051ec7202b9a9b2bd1fd885920015d3d1b2f
Uploaded: 2024-04-08 20:51:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: mlforecast
Version: 0.12.1
Summary: Scalable machine learning based time series forecasting
Author: José Morales
Author-Email: jmoralz92[at]gmail.com
Home-Page: https://github.com/Nixtla/mlforecast
License: Apache Software License 2.0
Keywords: python forecast forecasting machine-learning dask
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.8
Requires-Dist: cloudpickle
Requires-Dist: coreforecast (>=0.0.7)
Requires-Dist: fsspec
Requires-Dist: numba
Requires-Dist: optuna
Requires-Dist: packaging
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: utilsforecast (>=0.0.27)
Requires-Dist: window-ops
Requires-Dist: fsspec[s3]; extra == "aws"
Requires-Dist: fsspec[adl]; extra == "azure"
Requires-Dist: fugue; extra == "dask"
Requires-Dist: dask[complete]; extra == "dask"
Requires-Dist: lightgbm; extra == "dask"
Requires-Dist: xgboost; extra == "dask"
Requires-Dist: black; extra == "dev"
Requires-Dist: dask[complete]; extra == "dev"
Requires-Dist: datasetsforecast; extra == "dev"
Requires-Dist: fsspec[adl]; extra == "dev"
Requires-Dist: fsspec[gcs]; extra == "dev"
Requires-Dist: fsspec[s3]; extra == "dev"
Requires-Dist: fugue; extra == "dev"
Requires-Dist: fugue[ray]; extra == "dev"
Requires-Dist: lightgbm; extra == "dev"
Requires-Dist: lightgbm-ray; extra == "dev"
Requires-Dist: matplotlib; extra == "dev"
Requires-Dist: mypy; extra == "dev"
Requires-Dist: nbdev; extra == "dev"
Requires-Dist: polars; extra == "dev"
Requires-Dist: pyarrow; extra == "dev"
Requires-Dist: pyspark (>=3.3); extra == "dev"
Requires-Dist: ruff; extra == "dev"
Requires-Dist: xgboost; extra == "dev"
Requires-Dist: xgboost-ray; extra == "dev"
Requires-Dist: fsspec[gcs]; extra == "gcp"
Requires-Dist: fugue[ray]; extra == "ray"
Requires-Dist: lightgbm-ray; extra == "ray"
Requires-Dist: xgboost-ray; extra == "ray"
Requires-Dist: fugue; extra == "spark"
Requires-Dist: pyspark (>=3.3); extra == "spark"
Requires-Dist: lightgbm; extra == "spark"
Requires-Dist: xgboost; extra == "spark"
Provides-Extra: aws
Provides-Extra: azure
Provides-Extra: dask
Provides-Extra: dev
Provides-Extra: gcp
Provides-Extra: lag_transforms
Provides-Extra: ray
Provides-Extra: spark
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 8567 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
mlforecast/__init__.py sha256=1TYFy2S2Xd8tDVsVThSyizvvorTrPqzI61Ik9QY_QO8 91
mlforecast/_modidx.py sha256=W7Y9bQervSlTgHeDRjD9tI8bQYWm4rMgw4p9jCBbWvc 67267
mlforecast/auto.py sha256=wyq10nwlbKDg7CeG9ejh018M89fMUQfrocwlqBu1Zlw 19708
mlforecast/callbacks.py sha256=YwIBEuqy94iw1Opy67cgAu1hr6-vpgrnP078jwlH2b8 1352
mlforecast/compat.py sha256=UDeYwYn3FlUxwLqjm_F5e33z67d4h33c2i0WQ4uBnOw 961
mlforecast/core.py sha256=WL1YUVmTFCrn1P4ZausM8mOB4yV53OGDBKvnUY8C34o 35126
mlforecast/feature_engineering.py sha256=hXtmL9vpEisBHjLO6kN_O7N-Pt4HlSj2SfiOgA6Meyg 3030
mlforecast/forecast.py sha256=w8m05XTmLVXHmN3ASSBZQnSzaQisTzjUyY0La6SvIgg 40228
mlforecast/grouped_array.py sha256=0FdItIMv2orR2olzOwXKErB-ENTi2yll1RA-dhtxnEQ 9464
mlforecast/lag_transforms.py sha256=557QSaSklktQdlHx5UUYWo0CMpAuIA1A5nNcEKYyBFU 8090
mlforecast/lgb_cv.py sha256=d1riXecBpMtjgUobpY2yOrrdfPdUJCeoQU0s_D6RgJY 20853
mlforecast/optimization.py sha256=amqpg848d8aoAN3YAqxjQ558Hb5UUuZWTDXGsi4H4CQ 4624
mlforecast/target_transforms.py sha256=CGO3AAdiWPSZHqRHtzfSoqlk1zo59HgGCP21jeirDgQ 12600
mlforecast/utils.py sha256=Rhp9drhyMBRAjSHKQGgrZNsw3Z35joCKLpeXFbByh0U 4569
mlforecast/distributed/__init__.py sha256=lYHTPM_ehmsPDQ8RfP0K8pq7WQ9DO9NNC9xudnRb6P4 102
mlforecast/distributed/forecast.py sha256=y9eoynDtJyz5cA6ui6AY4vZeHTZfqftJkB2fY297qvE 33404
mlforecast/distributed/models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mlforecast/distributed/models/dask/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mlforecast/distributed/models/dask/lgb.py sha256=21VBj-bS-fAEiYq4gyF3t-odWCHHJ7oFr549QqXTKeI 714
mlforecast/distributed/models/dask/xgb.py sha256=O-JPqlV91qQbNayHejB35wxMwQ9TcliZ2ykyZip1w9s 527
mlforecast/distributed/models/ray/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mlforecast/distributed/models/ray/lgb.py sha256=5DC6egShpcNSCh105hMePHM9Z8AOyd1ueUq4lJ-jE34 450
mlforecast/distributed/models/ray/xgb.py sha256=Lx_Bhm8snzJwReM3wFUdCmaXqTqWrgHnQSzzPaw4pr4 552
mlforecast/distributed/models/spark/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
mlforecast/distributed/models/spark/lgb.py sha256=WAuimlSVuS5iLxSzvWQCJ7_MHl9Dquf_7LTtCEJNOpc 836
mlforecast/distributed/models/spark/xgb.py sha256=5dZUXUmWy6TPAgdwhfUMjNfSjyoqyBnieOyU17dfyCw 862
mlforecast-0.12.1.dist-info/LICENSE sha256=Aw_iPTByGs_WS9UZ9skEU2EGiC_GSm6h3kN97baDhsg 11336
mlforecast-0.12.1.dist-info/METADATA sha256=2e6Q31_9b9vD7pVXHRJOy5qRRuT6QMRJJHxCeCdjlz4 11246
mlforecast-0.12.1.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
mlforecast-0.12.1.dist-info/entry_points.txt sha256=UKn4AJuIcLcokUnFPN23Va5WDRpUDNYPCoMCo_X1RW8 42
mlforecast-0.12.1.dist-info/top_level.txt sha256=yAGYnEfmaglo5iyIiJ_oj2-HiKTbP1MqK8Jd9AT2klY 11
mlforecast-0.12.1.dist-info/RECORD — —

top_level.txt

mlforecast

entry_points.txt

[nbdev]
mlforecast = mlforecast._modidx:d