Wheelodex » Projects » tid-my-modelo-PEC2-CMCN1978

tid-my-modelo-PEC2-CMCN1978

View on PyPI — Reverse Dependencies (0)

0.0.3 tid_my_modelo_PEC2_CMCN1978-0.0.3-py3-none-any.whl

Wheel Details

Project: tid-my-modelo-PEC2-CMCN1978
Version: 0.0.3
Filename: tid_my_modelo_PEC2_CMCN1978-0.0.3-py3-none-any.whl
Download: [link]
Size: 35427
MD5: a114a9094d535278b9d757788ea3b0ad
SHA256: 29ad4cc855b145850d90d646304863fa5ea0d58ee8e2784e00e5d562ec628b06
Uploaded: 2022-11-11 15:00:00 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: tid-my-modelo-PEC2-CMCN1978
Version: 0.0.3
Summary: Example model package.
Requires-Python: >=3.6.0
Requires-Dist: numpy (==1.23.0)
Requires-Dist: pandas (<1.4.0,>=1.3.5)
Requires-Dist: pydantic (<1.9.0,>=1.8.1)
Requires-Dist: scikit-learn (<1.1.0,>=1.0.2)
Requires-Dist: strictyaml (<1.4.0,>=1.3.2)
Requires-Dist: ruamel.yaml (==0.16.12)
Requires-Dist: feature-engine (<1.1.0,>=1.0.2)
Requires-Dist: joblib (<1.1.0,>=1.0.1)
Requires-Dist: typed-ast (==1.5.4)
Description-Content-Type: text/markdown
[Description omitted; length: 23 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
my_model/VERSION sha256=TKwna27F1Mcc2Wyi57di6xJUOa28hyHeVhMQbRNF_i0 6
my_model/__init__.py sha256=YcyTbEjQextgU9vU9GLSN-uImh1WhF2phQNBqOt4k6Y 850
my_model/config.yml sha256=FQnk6q3AhuGA_hGzY7CYbXMPMe43AMWZCg8kE2njDWY 583
my_model/pipeline.py sha256=kzRX5DfZRc4PwKd989hByrAXqevjMm6LDzbhhplpcJA 1286
my_model/predict.py sha256=aYqc8_UFHS29Qe3FQyfjGKTEy7onyl0UZsJHU3PFI-4 490
my_model/train_pipeline.py sha256=yQC1MdYeKA2hrZyZYZNhsg_Lda5sUSrYBroDn7Ur-uU 1775
my_model/config/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
my_model/config/core.py sha256=ZenGRYBF2UC9g11n4LI3A3WtuAnDcbTXE-GOZJKAvbs 2126
my_model/datasets/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
my_model/datasets/test.csv sha256=-Vc7SbZuU_wo0k43izPJay5t1uOB6zwtw5Kw6VofMVs 5274
my_model/datasets/train.csv sha256=xYb5s_iz-DTnKPWwh_06F9x0EhSCgBaR1mFUugYkLOw 76661
my_model/processing/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
my_model/processing/data_manager.py sha256=4Doz9Y9cKz50sM0eQSVzLDp6dw2fISeK1_9shFdNeY4 1632
my_model/processing/validation.py sha256=Iw2Xcnybfrdl-wgjekHTfNCIGRAojITIliiTkrNYFxI 1670
my_model/trained_models/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
my_model/trained_models/genero_pipe_m0.0.3.pkl sha256=d8_Z_c3Qzez6hsDid0nRQC3d1t8MiLHG9fllPMI5TFs 2203
tid_my_modelo_PEC2_CMCN1978-0.0.3.dist-info/METADATA sha256=6zpuZF4_UsXkKNyOnNHx3G_3KHQeLma9QlGMTGtslIo 569
tid_my_modelo_PEC2_CMCN1978-0.0.3.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
tid_my_modelo_PEC2_CMCN1978-0.0.3.dist-info/top_level.txt sha256=Q6Bvv5GayRIjyGX0cnH7RgasUtLIkasFbwbLQRTXEoo 9
tid_my_modelo_PEC2_CMCN1978-0.0.3.dist-info/RECORD — —

top_level.txt

my_model