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PipelineTS

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0.3.11 PipelineTS-0.3.11-py3-none-any.whl

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Project: PipelineTS
Version: 0.3.11
Filename: PipelineTS-0.3.11-py3-none-any.whl
Download: [link]
Size: 59549
MD5: c5a1083b8d6a3a2d0d438eee67d00cac
SHA256: 80b1cfb03892cd7df5b1469edca2659f50420b29037a2396f33465a193e915a2
Uploaded: 2024-01-24 05:53:44 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: PipelineTS
Version: 0.3.11
Summary: One-stop time series analysis tool, supporting time series data preprocessing, feature engineering, model training, model evaluation, model prediction, etc. Based on spinesTS and darts.
Author: Birch Kwok
Author-Email: birchkwok[at]gmail.com
Home-Page: https://github.com/BirchKwok/PipelineTS
Keywords: time series forecasting
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.9
Requires-Dist: matplotlib (>=3.7.1)
Requires-Dist: numpy (<=1.25.0,>=1.24.3)
Requires-Dist: pandas (>=2.0.3)
Requires-Dist: scikit-learn (>=1.3.0)
Requires-Dist: xgboost (>=1.6.0)
Requires-Dist: darts (>=0.24.0)
Requires-Dist: catboost (>=1.2.2)
Requires-Dist: lightgbm (>=3.3.5)
Requires-Dist: spinesTS (>=0.4.8)
Requires-Dist: frozendict (>=2.3.0)
Requires-Dist: spinesUtils (>=0.3.12)
Requires-Dist: tabulate (>=0.8.9)
Requires-Dist: torch (>=1.8.0)
Requires-Dist: MAPIE (>=0.7.0)
Requires-Dist: cloudpickle (>=2.2.1)
Requires-Dist: matplotlib (>=3.7.1); extra == "all"
Requires-Dist: numpy (<=1.25.0,>=1.24.3); extra == "all"
Requires-Dist: pandas (>=2.0.3); extra == "all"
Requires-Dist: scikit-learn (>=1.3.0); extra == "all"
Requires-Dist: xgboost (>=1.6.0); extra == "all"
Requires-Dist: darts (>=0.24.0); extra == "all"
Requires-Dist: catboost (>=1.2.2); extra == "all"
Requires-Dist: lightgbm (>=3.3.5); extra == "all"
Requires-Dist: spinesTS (>=0.4.8); extra == "all"
Requires-Dist: frozendict (>=2.3.0); extra == "all"
Requires-Dist: spinesUtils (>=0.3.12); extra == "all"
Requires-Dist: tabulate (>=0.8.9); extra == "all"
Requires-Dist: torch (>=1.8.0); extra == "all"
Requires-Dist: MAPIE (>=0.7.0); extra == "all"
Requires-Dist: cloudpickle (>=2.2.1); extra == "all"
Requires-Dist: prophet (>=1.1.4); extra == "all"
Requires-Dist: matplotlib (>=3.7.1); extra == "core"
Requires-Dist: numpy (<=1.25.0,>=1.24.3); extra == "core"
Requires-Dist: pandas (>=2.0.3); extra == "core"
Requires-Dist: scikit-learn (>=1.3.0); extra == "core"
Requires-Dist: xgboost (>=1.6.0); extra == "core"
Requires-Dist: darts (>=0.24.0); extra == "core"
Requires-Dist: catboost (>=1.2.2); extra == "core"
Requires-Dist: lightgbm (>=3.3.5); extra == "core"
Requires-Dist: spinesTS (>=0.4.8); extra == "core"
Requires-Dist: frozendict (>=2.3.0); extra == "core"
Requires-Dist: spinesUtils (>=0.3.12); extra == "core"
Requires-Dist: tabulate (>=0.8.9); extra == "core"
Requires-Dist: torch (>=1.8.0); extra == "core"
Requires-Dist: MAPIE (>=0.7.0); extra == "core"
Requires-Dist: cloudpickle (>=2.2.1); extra == "core"
Provides-Extra: all
Provides-Extra: core
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 12322 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.42.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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PipelineTS/dataset.py sha256=ovdZj-uQd5yEqci5gOSUkxmNoJOuqNCiR5qWRQP5ivI 233
PipelineTS/metrics.py sha256=uTnM1paqXG-dngVCWAi97eXZCsjBAb0nLZegxdJGzqI 808
PipelineTS/io/__init__.py sha256=O2YbmBKaSWXigauGX1pA26W74pONXzxQxP_AAC7KGWo 11507
PipelineTS/ml_model/__init__.py sha256=5CNt7TOzQmM97lBj8uwUKjQ5GQYcK9lLGpegPt8AVlQ 315
PipelineTS/ml_model/gbdt.py sha256=WACo6-x6_JpSFDUnQ4Axb7SAhNOgnr7QHlT33WM7hg8 17745
PipelineTS/ml_model/multi_output_model.py sha256=orcxz3Xb0XsAT2ku2Y7GPWpMBO1IK7m7xtXnYCDSPTk 15700
PipelineTS/ml_model/wide_gbrt.py sha256=IxbBRmuSmkZrduRMsCGlpCqFTeps-LeZ_5YAWNmr-2c 11121
PipelineTS/nn_model/__init__.py sha256=KUffrC5GQOM837rHWouzxolLT-a07JlP48wkLL-DeuI 626
PipelineTS/nn_model/d_linear.py sha256=I2DBP7LHEIX7ad6rkoGHRoI-vH_3AgaamgHHduWw7to 6827
PipelineTS/nn_model/gau.py sha256=S2Jdi1-5kI0KE0WamD4GkFkO5RWLTrN8lEUucUBubsg 4734
PipelineTS/nn_model/n_beats.py sha256=In5YT8AYq0OvBX6_VHLXZPnGmd2ebkgkXQIrARR3-S8 7702
PipelineTS/nn_model/n_hits.py sha256=Y41l91tQNko7K_RKHMYCFRFUxFE4f8nXalxuuz983WY 8047
PipelineTS/nn_model/n_linear.py sha256=RCV8BUXUCNFWnMf8CBCChJcH0_0n_A4coKxlBQqaJ9c 6693
PipelineTS/nn_model/patch_rnn.py sha256=LdgP-8Nvdmod1my0wVZ9p3tYBuOhSz5WYRWkBmoGoh4 4818
PipelineTS/nn_model/stacking_rnn.py sha256=qaGNjayyXmEWKtTe-6Oh8r6ZBLMevQIJ1b7fZRF-uS0 4971
PipelineTS/nn_model/tcn.py sha256=XUE6aMKbZxPewgO00ON6I9tNzTTQVPb88b4UnYTfNJE 4951
PipelineTS/nn_model/tft.py sha256=ZIwXhbCGusH6Nix2U78F8H8wKBhjtzjY967ZNQ7QW-Y 8799
PipelineTS/nn_model/tide.py sha256=X4D_PqzXNyTj_2DKoRCHzQ_LPMqdx6lzvC_VHuL0Gyc 8379
PipelineTS/nn_model/time2vec.py sha256=dshWUTHeJWrUyirLOMc7990lvMt86ANYLYNzeBOJQA4 4749
PipelineTS/nn_model/transformer.py sha256=v0HD6ZhidvjcKbbCNJHBrsyQDjZ9I5i4EKdaz4KftNY 7829
PipelineTS/pipeline/__init__.py sha256=MnK6AJayaUZOnjnHVzMtAiKpwqjqVWGrxQDK1xyslK8 120
PipelineTS/pipeline/pipeline.py sha256=oHFqx_VBlKiV5coV_nSOe_wwrCZQr87SUxinDtF2G5k 27283
PipelineTS/pipeline/pipeline_configs.py sha256=oEOcxZvTmnum8zSDuLwuId-43UB49ev2P5WD7-yH7M4 5150
PipelineTS/pipeline/pipeline_models.py sha256=bCm5KWyB7G3AvejKwvGkJ2ujv3APYwoJP1wfSoycuIQ 1949
PipelineTS/plot/__init__.py sha256=zI0azbjrJ8tivggcZ6ePFez7AouGDWSB-4jBQpQDNIE 5983
PipelineTS/preprocessing/__init__.py sha256=FII7hn3FbY-fV1kBkUMd_yynESQdQQiZCO1oAboLl68 28
PipelineTS/preprocessing/scalers.py sha256=cD-kIy_SpqClXHz2Nz6I6XhN787NZ-F_wYHNw-k3cfI 2636
PipelineTS/statistic_model/__init__.py sha256=3eBt5VHI2bMjqOc8uKq-vNSaPr1VYLkEs3svM11aLDo 196
PipelineTS/statistic_model/auto_arima.py sha256=8pL81mk8w9foP4l8sH6FNt9cg93a-dcN7fJMW65drj8 5158
PipelineTS/statistic_model/prophet.py sha256=B1wRRsiISM25zq_DCYKLfkruoVbyH1_4mxSFZ3gbl1Y 5613
PipelineTS/utils/__init__.py sha256=ZbuG04daczjVyJWbGF9yfla1GZ1S9Op2rBcxttXC4HY 1203
PipelineTS-0.3.11.dist-info/LICENSE sha256=xx0jnfkXJvxRnG63LTGOxlggYnIysveWIZ6H3PNdCrQ 11357
PipelineTS-0.3.11.dist-info/METADATA sha256=UKfmZRGMI9ksZLtnqOqXX44Pqsgau6mWGfEhwsZjUOE 15335
PipelineTS-0.3.11.dist-info/WHEEL sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM 92
PipelineTS-0.3.11.dist-info/top_level.txt sha256=MzyCpqs30GFqNidC0_sFRnDOmfBe21DU1wcCtiBoeNo 11
PipelineTS-0.3.11.dist-info/RECORD — —

top_level.txt

PipelineTS