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MicroLIA

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2.7.0 MicroLIA-2.7.0-py3-none-any.whl
2.2.6 MicroLIA-2.2.6-py3-none-any.whl

Wheel Details

Project: MicroLIA
Version: 2.2.6
Filename: MicroLIA-2.2.6-py3-none-any.whl
Download: [link]
Size: 479532
MD5: 077d4ebc5d7d9183cc6bd7c5c6c5031e
SHA256: 09f81ca46208a85a7860b875909296b504db28b8b45286c5e81da65337011bac
Uploaded: 2023-05-26 01:25:22 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: MicroLIA
Version: 2.2.6
Summary: Machine learning classifier for microlensing
Author: Daniel Godines
Author-Email: danielgodinez123[at]gmail.com
Home-Page: https://github.com/Professor-G/MicroLIA
License: GPL-3.0
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7,<4
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: scikit-optimize
Requires-Dist: astropy
Requires-Dist: scipy
Requires-Dist: peakutils
Requires-Dist: progress
Requires-Dist: matplotlib
Requires-Dist: optuna
Requires-Dist: boruta
Requires-Dist: BorutaShap
Requires-Dist: xgboost
Requires-Dist: scikit-plot
Requires-Dist: tensorflow
Requires-Dist: pandas
Requires-Dist: dill
Requires-Dist: opencv-python
Requires-Dist: imbalanced-learn
Requires-Dist: gatspy
Requires-Dist: astroML
License-File: LICENSE.txt
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WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.40.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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MicroLIA/cnn_model.py sha256=rlPg9k7yCBlp5c8dl-O3ePo_jrHxhqFGzDKXmf94tSg 172657
MicroLIA/data_augmentation.py sha256=W_XFqdn8M4lAbyQaCkTPi4f8IigOavmF3FyNReRsYaQ 36126
MicroLIA/data_processing.py sha256=QzuS8BIXGqapot5XGkqmzUxAiStKr6QmffHZ0LxBv_Y 12888
MicroLIA/ensemble_model.py sha256=erXprHBJMWBCrzWyllJnskV6H-9rIqIUsyGjQEvth3Q 54677
MicroLIA/extract_features.py sha256=OprFP9RkvKdXqAKzTnH2C4TNnEje_3T22vx2eYsOXzE 5250
MicroLIA/features.py sha256=5G9YzVNU0S6z_4cFPrBYN1cA6B4Aozu4YWbgOhC2_DY 117151
MicroLIA/noise_models.py sha256=ibBkRWvGc9s1pAM0x613nHWQU_uoCp26K5lFPHvbu7E 2719
MicroLIA/optimization.py sha256=y8B_YN8rMZ0guX0n6hE0eLU888F_3V-6MqihEuQBNo0 130007
MicroLIA/quality_check.py sha256=VQKkliCVao9gs3YKQmUOs796Y5tP3VpmoxafOMzhHlY 4419
MicroLIA/simulate.py sha256=H0oXC2xRgQZZtmEefgITn1ZqmEEQnXD8T0bphNbkRnw 42330
MicroLIA/training_set.py sha256=7NGvCxT6eEVVeaOMy8zEClpgGtyTdNduaEKY36ulJC0 25956
MicroLIA/data/Miras_vo.xml sha256=R2sefhGwld3wbBEB5ONT_F8pq3Q76tGc81J8O36M9ac 1384833
MicroLIA/data/__init__.py sha256=nipsi3lm9sf-lT_fgWrpLRYKdEwNniCKxBS3zn13hwY 365
MicroLIA/data/Sesar2010/RRLyr_ugriz_templates.tar.gz sha256=-Iy9s11rqYlF-uGYxOfICqrdIvChMuEK2JTggIOOdWU 172713
MicroLIA/data/Sesar2010/__init__.py sha256=nipsi3lm9sf-lT_fgWrpLRYKdEwNniCKxBS3zn13hwY 365
MicroLIA-2.2.6.dist-info/LICENSE.txt sha256=WJ7YI-moTFb-uVrFjnzzhGJrnL9P2iqQe8NuED3hutI 35141
MicroLIA-2.2.6.dist-info/METADATA sha256=UliUqfOKYtrUMAqnIOfLfELC4Ljyg1bBbIYLxaqmJHs 1066
MicroLIA-2.2.6.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
MicroLIA-2.2.6.dist-info/top_level.txt sha256=wDQ4H1vFtSFOXNjuk2ZP3ZKCC7NxDbfWp2f0zQmymy4 9
MicroLIA-2.2.6.dist-info/RECORD — —

top_level.txt

MicroLIA