AutoMLpy

View on PyPIReverse Dependencies (0)

0.0.31 AutoMLpy-0.0.31-py3-none-any.whl

Wheel Details

Project: AutoMLpy
Version: 0.0.31
Filename: AutoMLpy-0.0.31-py3-none-any.whl
Download: [link]
Size: 27870
MD5: 90c8e54171c31f48c0202c7cfa4baa9a
SHA256: 2d580547f15ca39faf8d7e7a3b22454955e8a058d1b52176757ccb2a3d3b1ea3
Uploaded: 2021-09-16 14:14:03 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: AutoMLpy
Version: 0.0.31
Summary: This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model. Code at: https://github.com/JeremieGince/AutoMLpy .
Author: Jérémie Gince
Author-Email: gincejeremie[at]gmail.com
Home-Page: https://github.com/JeremieGince/AutoMLpy
License: Apache 2.0
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: wheel (>=0.36.2)
Requires-Dist: tqdm (>=4.56.0)
Requires-Dist: numpy (>=1.19.5)
Requires-Dist: scikit-learn (>=0.24.1)
Requires-Dist: scipy (>=1.6.0)
Requires-Dist: plotly (>=4.14.3)
Requires-Dist: pandas (>=1.2.1)
Requires-Dist: dash (>=1.19.0)
Requires-Dist: matplotlib (>=3.3.3)
Requires-Dist: psutil (>=5.8.0)
Description-Content-Type: text/markdown
[Description omitted; length: 8921 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.36.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
AutoMLpy/__init__.py sha256=LBjUbIh8FN5k-mgCFeW3R4Ud4WMghgpvvBL3QcxzFr4 401
AutoMLpy/logging_tools.py sha256=K6PxdSowL3TcNzzalxKPI6ogPbmuBim-3Bhy1boPwio 3450
AutoMLpy/tools.py sha256=wZiaAbMBO6o9QqQxmAlIYcPYK6Ha2zttW0xd1_G8OXA 361
AutoMLpy/version.py sha256=DHHWcJnvmCKP4o0JwkA3zuFCtJnlrhJSsrS1n7DVe-s 24
AutoMLpy/optimizers/__init__.py sha256=cca9LXGUMIAvLt9rFYVd-ZehikFHM-nKeDX2eYNcsVo 36
AutoMLpy/optimizers/optimizer.py sha256=GEZfki5l5kNt_gtVxCZxv3aZgjtONxj_uASK0QewixE 28515
AutoMLpy/parameter_generators/__init__.py sha256=IjWDAEN037crOph4OiWUJG889exeyVdlDoWJkRqNAek 437
AutoMLpy/parameter_generators/gp_search.py sha256=QVeEEQM_GDZAj28MH-8uOZSyEc314H96RDd3DLe5VaI 15390
AutoMLpy/parameter_generators/grid_search.py sha256=kVi7uyG8-8xnzbzIBk5tiMXDVjahO32NYqF1SxnuLvg 841
AutoMLpy/parameter_generators/parameter_generator.py sha256=7PJtXB2TND_BGYLE6n3RFH2AiqN8k633B8R_bV9Uge0 31785
AutoMLpy/parameter_generators/random_search.py sha256=XNVjyVQGoMnl_wYVLVh7uN1DGJZ05FMN6JFjKUnYjiI 1944
AutoMLpy-0.0.31.dist-info/LICENSE.md sha256=KVlUI2MpjSRuFymIt_lsbAQcnLSmTx9Sphi34QlkVdY 11546
AutoMLpy-0.0.31.dist-info/METADATA sha256=RcWupR_tP5m9QM8g7YBAm3YfA9NYSCOsiezcg1igBGU 9878
AutoMLpy-0.0.31.dist-info/WHEEL sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA 92
AutoMLpy-0.0.31.dist-info/top_level.txt sha256=h2ZJPTUoJfF-6_A5YsLIOjo_yfelrqdh9Zl4Px85dE0 9
AutoMLpy-0.0.31.dist-info/RECORD

top_level.txt

AutoMLpy