creditcard-customers-churn-gbm-model

View on PyPIReverse Dependencies (0)

0.0.1 creditcard_customers_churn_gbm_model-0.0.1-py3-none-any.whl

Wheel Details

Project: creditcard-customers-churn-gbm-model
Version: 0.0.1
Filename: creditcard_customers_churn_gbm_model-0.0.1-py3-none-any.whl
Download: [link]
Size: 883288
MD5: 3273118370ee6043dd4160ebc41220b2
SHA256: 12b77b26246dd9cb3c79e19a4504a5fe140da32ee88d26e0fcac6c956210e38d
Uploaded: 2022-03-08 15:37:28 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: creditcard-customers-churn-gbm-model
Version: 0.0.1
Summary: Example Credit Card Customer Churn dataset Gradient Boosting model package from Train In Data.
Author: ZoeYS
Author-Email: yejiseoung.ds[at]gmail.com
Home-Page: https://github.com/yejiseoung/CreditCard_Churn
License: BSD-3
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.7.0
Requires-Dist: numpy (<1.21.0,>=1.20.0)
Requires-Dist: pandas (<1.4.0,>=1.3.5)
Requires-Dist: pydantic (<1.9.0,>=1.8.1)
Requires-Dist: scikit-learn (<1.0.3,>=1.0.2)
Requires-Dist: strictyaml (<1.4.0,>=1.3.2)
Requires-Dist: ruamel.yaml (==0.16.12)
Requires-Dist: feature-engine (<1.3.0,>=1.2.0)
Requires-Dist: joblib (<1.1.0,>=1.0.1)
Requires-Dist: imblearn (<0.1,>=0.0)
Description-Content-Type: text/markdown
[Description omitted; length: 96 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
classification_model/VERSION sha256=5mNQReHSR47EynEtjA4d_O-Lt7Wx6OO7Vg03_jmannI 6
classification_model/__init__.py sha256=eN81o81JK9M_VZIwyi_QTh4GCHW-l07-aiSYi7dGoYo 862
classification_model/config.yml sha256=7HrT3GUvvaCIcM73Gx_Dmh1p_x9nx_j2vMHvDCEFG1M 1783
classification_model/pipeline.py sha256=liZjRsqSdch4r5f3tm45tbBdo-sq-Q0vYgQDcBqFmxY 1557
classification_model/predict.py sha256=KnXp9mopivjvdI50dbrYVs_2BvlygRgYXAVdXnE2k0c 1038
classification_model/train_pipeline.py sha256=dYQE1bxR-YjfsNKJDYPM8UTpPKIuKJSQaXl5MU-bRjQ 1055
classification_model/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
classification_model/config/core.py sha256=Uq2P7A7bneUuNaMD3uzstd4ZESUfXRv48Fj9YrOD9rU 2171
classification_model/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
classification_model/processing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
classification_model/processing/data_manager.py sha256=06UL9CgEXTKG9lDBd85jIWua5fZSeXogKZB8FnoZjqA 2282
classification_model/processing/validation.py sha256=xNvhKsnzA9QKqlw-gN8WLNKr9-5GO3sTgIch18vm6_o 2119
classification_model/trained_models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
classification_model/trained_models/classification_model_output_v0.0.1.pkl sha256=O4-Oayge9aElPWpllquGS9RwNcIccJEMfRpB0IG-4JU 2532275
creditcard_customers_churn_gbm_model-0.0.1.dist-info/METADATA sha256=fLAajwTRYpsaAGO02-wwTwbypfz7_K2DuXuyBVm7DZE 1292
creditcard_customers_churn_gbm_model-0.0.1.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
creditcard_customers_churn_gbm_model-0.0.1.dist-info/top_level.txt sha256=VmH6pvgPC8wm0j78xquIgbVbxaqmh34ZTHhYhLSNQ0M 21
creditcard_customers_churn_gbm_model-0.0.1.dist-info/RECORD

top_level.txt

classification_model