Wheelodex » Projects » ml-in-prod-juliarty-ml-project-1

ml-in-prod-juliarty-ml-project-1

View on PyPI — Reverse Dependencies (0)

0.2.0 ml_in_prod_juliarty_ml_project_1-0.2.0-py3-none-any.whl

Wheel Details

Project: ml-in-prod-juliarty-ml-project-1
Version: 0.2.0
Filename: ml_in_prod_juliarty_ml_project_1-0.2.0-py3-none-any.whl
Download: [link]
Size: 53263
MD5: bd046e51c3f86c6bcf39a09ed606e474
SHA256: 75c2bb8f983c15d1d63ae9ca4b90d5fb787c9b8fe571def62c78b85dbfe7f246
Uploaded: 2022-05-29 09:09:35 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: ml-in-prod-juliarty-ml-project-1
Version: 0.2.0
Summary: That is a homework project
Author: Juliarty
Author-Email: sirrzk.09[at]yandex.ru
Home-Page: https://github.com/made-ml-in-prod-2022/juliarty
Project-Url: Bug Reports, https://github.com/made-ml-in-prod-2022/juliarty/issues
Project-Url: Source, https://github.com/made-ml-in-prod-2022/juliarty/
Keywords: homework ml in prod
Requires-Python: >=3.8, <4
Requires-Dist: pyyaml (==6.0)
Requires-Dist: marshmallow-dataclass (==8.5.8)
Requires-Dist: pandas (~=1.4.2)
Requires-Dist: scikit-learn (~=1.0.2)
Requires-Dist: numpy (~=1.22.3)
Requires-Dist: omegaconf (~=2.1.2)
Requires-Dist: hydra-core (==1.1.2)
Requires-Dist: hydra-colorlog (==1.1.0)
Requires-Dist: pytest (~=7.1.2)
Requires-Dist: gdown (==4.4.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5801 characters]

WHEEL

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

RECORD

Path Digest Size
ml_project/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_project/pipelines/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_project/pipelines/predict_pipeline.py sha256=G5YjcK_3B84OuIIlcoFEnvzk_CGlX7bE1zTCUIRex3g 2266
ml_project/pipelines/predict_pipeline_params.py sha256=1Zpv6xb3AkyOsmUZmbEP02SmafYTfMvJOkkjP3EqYKk 662
ml_project/pipelines/train_pipeline.py sha256=MuahEon3KsHcTasdh6sSODLx9Fo6jkpbzZ5jmOp7exA 3912
ml_project/pipelines/train_pipeline_params.py sha256=AuCMBa2DXeCVasf7PPqGxp2uA4cba2a53ZkTq4hBnWc 757
ml_project/pipelines/utils.py sha256=Qf63Bahtp7ykBCBSQnaQPXNcCFBQ2nA-GH9N2eXP3Ik 869
ml_project/pipelines/configs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_project/pipelines/configs/default_predict_pipeline.yaml sha256=Mt1cvwv2K4kdrGnw2W8YJCEiKe5F9TNDirAoJEnhs-Y 595
ml_project/pipelines/configs/default_train_pipeline.yaml sha256=N8TDEvOJAYBT7ETkwWvra0mLIR2_f5QRymgkjA40iUs 633
ml_project/pipelines/configs/features/default.yaml sha256=GkZJn5wKJnGAUwfpLxM5y4f03BvsW89t8a2odE2yLdY 931
ml_project/pipelines/configs/features/short.yaml sha256=aFPgZhmB1pJiCxZA7gHPbYtUmn7dir6cfJe2jS5fx0o 97
ml_project/pipelines/configs/model/logistic.yaml sha256=fxOMAxnPh8GDIqQShWl3-FK7m0ISYi7QTzVgP_yBFkc 101
ml_project/pipelines/configs/model/random_forest.yaml sha256=U-UuqP27GBffLLEvCRgy1IkvO149QTe32jhbpUyXvb8 83
ml_project/pipelines/configs/preprocessing/identity_transformer.yaml sha256=5GQMUAJiyilxlbSNQrPNd0btw13qb9Q2qCw0t5EIymQ 39
ml_project/pipelines/configs/preprocessing/one_hot_transformer.yaml sha256=gLK989wkwDKPdy4P14TY8eI0lkFNHYABIUU8lTNIw14 38
ml_project/pipelines/configs/split/default.yaml sha256=tWz2FF_GgwuB6QMQcRiaTYBtv4TfJr4QDQRJr7EmIhg 31
ml_project/pipelines/configs/split/large_test.yaml sha256=RVz0KSUVCbTjt1DRG88RtzQAm5t_oqKkgcpIECXtj2o 15
ml_project/pipelines/configs/train_pipelines/forest_train_pipeline.yaml sha256=4A2knWK3L4quz6LqVjd74IzZRzlMKCEsEqmVQkWsloA 188
ml_project/pipelines/data/__init__.py sha256=FA0k6EL_SvdXugMIBwx-ZQGOnFHfG-NKUSRiTIF-WCo 311
ml_project/pipelines/data/features_params.py sha256=z6y3Tl3CN2BJBWo_AMFAtXYxJzEO5G4Xi07ST2TH63k 511
ml_project/pipelines/data/make_dataset.py sha256=-7R6oK125XWT4wVj_s8zZF7xj0VQ_B7DHlntCpjz5mo 4160
ml_project/pipelines/data/split_params.py sha256=at22I1fEewlTebZBC_-k2M9Y-IpvpM8Z5Y5u0VrcdQA 164
ml_project/pipelines/models/__init__.py sha256=8Kb3M4XGmOX-QDcnM7aXpX_BPK_Zr1ahrB3CCUnvtlQ 202
ml_project/pipelines/models/model_params.py sha256=0n5demLAtZd8bapYYM1zSzMgBVUWWEBR5bvz2sqjNxw 105
ml_project/pipelines/models/predict_model.py sha256=CfqERqbBAxMeOTtlJsOooIyFGOTNqE3dm0DtVJCuTK8 276
ml_project/pipelines/models/train_model.py sha256=UcHBIZg8KRcGmkyxBsoRVeoUJLdWlo-f0sj9gsgrizM 1407
ml_project/pipelines/preprocessing/__init__.py sha256=ZBfghoROt1YDiNcRo05lKpwoDZgQN4dvkACpkHnyv80 206
ml_project/pipelines/preprocessing/preprocessing_params.py sha256=3QyvfGJe0vl65pT5VchxOQffw3WT8Lxy9iv7e-A5UQE 146
ml_project/pipelines/preprocessing/transformers.py sha256=YIL1EpoiNEvQgJW_R3EYcLmCDPUwpU64NaSh7yr-WSA 2926
ml_project/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
ml_project/tests/test_data_module.py sha256=Q-oDa8GTnoMXMryegoSb5wp-Uqr8PUI9qBUw0jpK6p8 1725
ml_project/tests/test_models_module.py sha256=tQnyPnaFq-Bo1ua7yy3rerZglPmYHG7eAPwRRohcC5M 519
ml_project/tests/test_predict_pipeline.py sha256=ziU3SmHK8qisGjE4rOG6Y72kRuGIIBCSyAWxvu76-KI 1109
ml_project/tests/test_preprocessing_module.py sha256=CL-tzyAIhq8XoAfFAuTkFsLBLNn7uF0PMTOVobusupw 1714
ml_project/tests/test_train_pipeline.py sha256=LfV-qB6ChCwbIMfpVYbQA1KPIwAifRjNJBp1bAUApIo 1165
ml_project/tests/utils.py sha256=JYaTQwz0bB-2wKdm7XnuhCcgOMTPv_DmZ8R2iyklbmI 5213
pipelines/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pipelines/predict_pipeline.py sha256=vyhB0R2v-yufA-_3o8bfl4m8fH746NGPdMPy1M6mtQ8 2463
pipelines/predict_pipeline_params.py sha256=1Zpv6xb3AkyOsmUZmbEP02SmafYTfMvJOkkjP3EqYKk 662
pipelines/train_pipeline.py sha256=MRTpUG-4cAyryQ1Bk4mTXfPypcrXFTTLVz5611CgOSc 3918
pipelines/train_pipeline_params.py sha256=AuCMBa2DXeCVasf7PPqGxp2uA4cba2a53ZkTq4hBnWc 757
pipelines/utils.py sha256=5Hp3dOuWVvFEui4n4ONN4DLjQrq1I8lmkq4nnzZX64o 579
pipelines/configs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pipelines/configs/default_predict_pipeline.yaml sha256=Mt1cvwv2K4kdrGnw2W8YJCEiKe5F9TNDirAoJEnhs-Y 595
pipelines/configs/default_train_pipeline.yaml sha256=N8TDEvOJAYBT7ETkwWvra0mLIR2_f5QRymgkjA40iUs 633
pipelines/configs/features/default.yaml sha256=GkZJn5wKJnGAUwfpLxM5y4f03BvsW89t8a2odE2yLdY 931
pipelines/configs/features/short.yaml sha256=aFPgZhmB1pJiCxZA7gHPbYtUmn7dir6cfJe2jS5fx0o 97
pipelines/configs/model/logistic.yaml sha256=fxOMAxnPh8GDIqQShWl3-FK7m0ISYi7QTzVgP_yBFkc 101
pipelines/configs/model/random_forest.yaml sha256=U-UuqP27GBffLLEvCRgy1IkvO149QTe32jhbpUyXvb8 83
pipelines/configs/preprocessing/identity_transformer.yaml sha256=5GQMUAJiyilxlbSNQrPNd0btw13qb9Q2qCw0t5EIymQ 39
pipelines/configs/preprocessing/one_hot_transformer.yaml sha256=gLK989wkwDKPdy4P14TY8eI0lkFNHYABIUU8lTNIw14 38
pipelines/configs/split/default.yaml sha256=tWz2FF_GgwuB6QMQcRiaTYBtv4TfJr4QDQRJr7EmIhg 31
pipelines/configs/split/large_test.yaml sha256=RVz0KSUVCbTjt1DRG88RtzQAm5t_oqKkgcpIECXtj2o 15
pipelines/configs/train_pipelines/forest_train_pipeline.yaml sha256=4A2knWK3L4quz6LqVjd74IzZRzlMKCEsEqmVQkWsloA 188
pipelines/data/__init__.py sha256=FA0k6EL_SvdXugMIBwx-ZQGOnFHfG-NKUSRiTIF-WCo 311
pipelines/data/features_params.py sha256=z6y3Tl3CN2BJBWo_AMFAtXYxJzEO5G4Xi07ST2TH63k 511
pipelines/data/make_dataset.py sha256=-7R6oK125XWT4wVj_s8zZF7xj0VQ_B7DHlntCpjz5mo 4160
pipelines/data/split_params.py sha256=at22I1fEewlTebZBC_-k2M9Y-IpvpM8Z5Y5u0VrcdQA 164
pipelines/models/__init__.py sha256=8Kb3M4XGmOX-QDcnM7aXpX_BPK_Zr1ahrB3CCUnvtlQ 202
pipelines/models/model_params.py sha256=0n5demLAtZd8bapYYM1zSzMgBVUWWEBR5bvz2sqjNxw 105
pipelines/models/predict_model.py sha256=CfqERqbBAxMeOTtlJsOooIyFGOTNqE3dm0DtVJCuTK8 276
pipelines/models/train_model.py sha256=UcHBIZg8KRcGmkyxBsoRVeoUJLdWlo-f0sj9gsgrizM 1407
pipelines/preprocessing/__init__.py sha256=ZBfghoROt1YDiNcRo05lKpwoDZgQN4dvkACpkHnyv80 206
pipelines/preprocessing/preprocessing_params.py sha256=3QyvfGJe0vl65pT5VchxOQffw3WT8Lxy9iv7e-A5UQE 146
pipelines/preprocessing/transformers.py sha256=iWHX0AdK99vISmAp6PPeonU5pDePpxjWdLe9eUwrRT4 2870
src/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
src/pipelines/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
src/pipelines/predict_pipeline.py sha256=vyhB0R2v-yufA-_3o8bfl4m8fH746NGPdMPy1M6mtQ8 2463
src/pipelines/predict_pipeline_params.py sha256=1Zpv6xb3AkyOsmUZmbEP02SmafYTfMvJOkkjP3EqYKk 662
src/pipelines/train_pipeline.py sha256=MRTpUG-4cAyryQ1Bk4mTXfPypcrXFTTLVz5611CgOSc 3918
src/pipelines/train_pipeline_params.py sha256=AuCMBa2DXeCVasf7PPqGxp2uA4cba2a53ZkTq4hBnWc 757
src/pipelines/utils.py sha256=5Hp3dOuWVvFEui4n4ONN4DLjQrq1I8lmkq4nnzZX64o 579
src/pipelines/configs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
src/pipelines/configs/default_predict_pipeline.yaml sha256=Mt1cvwv2K4kdrGnw2W8YJCEiKe5F9TNDirAoJEnhs-Y 595
src/pipelines/configs/default_train_pipeline.yaml sha256=N8TDEvOJAYBT7ETkwWvra0mLIR2_f5QRymgkjA40iUs 633
src/pipelines/configs/features/default.yaml sha256=GkZJn5wKJnGAUwfpLxM5y4f03BvsW89t8a2odE2yLdY 931
src/pipelines/configs/features/short.yaml sha256=aFPgZhmB1pJiCxZA7gHPbYtUmn7dir6cfJe2jS5fx0o 97
src/pipelines/configs/model/logistic.yaml sha256=fxOMAxnPh8GDIqQShWl3-FK7m0ISYi7QTzVgP_yBFkc 101
src/pipelines/configs/model/random_forest.yaml sha256=U-UuqP27GBffLLEvCRgy1IkvO149QTe32jhbpUyXvb8 83
src/pipelines/configs/preprocessing/identity_transformer.yaml sha256=5GQMUAJiyilxlbSNQrPNd0btw13qb9Q2qCw0t5EIymQ 39
src/pipelines/configs/preprocessing/one_hot_transformer.yaml sha256=gLK989wkwDKPdy4P14TY8eI0lkFNHYABIUU8lTNIw14 38
src/pipelines/configs/split/default.yaml sha256=tWz2FF_GgwuB6QMQcRiaTYBtv4TfJr4QDQRJr7EmIhg 31
src/pipelines/configs/split/large_test.yaml sha256=RVz0KSUVCbTjt1DRG88RtzQAm5t_oqKkgcpIECXtj2o 15
src/pipelines/configs/train_pipelines/forest_train_pipeline.yaml sha256=4A2knWK3L4quz6LqVjd74IzZRzlMKCEsEqmVQkWsloA 188
src/pipelines/data/__init__.py sha256=FA0k6EL_SvdXugMIBwx-ZQGOnFHfG-NKUSRiTIF-WCo 311
src/pipelines/data/features_params.py sha256=z6y3Tl3CN2BJBWo_AMFAtXYxJzEO5G4Xi07ST2TH63k 511
src/pipelines/data/make_dataset.py sha256=-7R6oK125XWT4wVj_s8zZF7xj0VQ_B7DHlntCpjz5mo 4160
src/pipelines/data/split_params.py sha256=at22I1fEewlTebZBC_-k2M9Y-IpvpM8Z5Y5u0VrcdQA 164
src/pipelines/models/__init__.py sha256=8Kb3M4XGmOX-QDcnM7aXpX_BPK_Zr1ahrB3CCUnvtlQ 202
src/pipelines/models/model_params.py sha256=0n5demLAtZd8bapYYM1zSzMgBVUWWEBR5bvz2sqjNxw 105
src/pipelines/models/predict_model.py sha256=CfqERqbBAxMeOTtlJsOooIyFGOTNqE3dm0DtVJCuTK8 276
src/pipelines/models/train_model.py sha256=UcHBIZg8KRcGmkyxBsoRVeoUJLdWlo-f0sj9gsgrizM 1407
src/pipelines/preprocessing/__init__.py sha256=ZBfghoROt1YDiNcRo05lKpwoDZgQN4dvkACpkHnyv80 206
src/pipelines/preprocessing/preprocessing_params.py sha256=3QyvfGJe0vl65pT5VchxOQffw3WT8Lxy9iv7e-A5UQE 146
src/pipelines/preprocessing/transformers.py sha256=iWHX0AdK99vISmAp6PPeonU5pDePpxjWdLe9eUwrRT4 2870
src/tests/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
src/tests/test_data_module.py sha256=Q-oDa8GTnoMXMryegoSb5wp-Uqr8PUI9qBUw0jpK6p8 1725
src/tests/test_models_module.py sha256=tQnyPnaFq-Bo1ua7yy3rerZglPmYHG7eAPwRRohcC5M 519
src/tests/test_predict_pipeline.py sha256=ziU3SmHK8qisGjE4rOG6Y72kRuGIIBCSyAWxvu76-KI 1109
src/tests/test_preprocessing_module.py sha256=CL-tzyAIhq8XoAfFAuTkFsLBLNn7uF0PMTOVobusupw 1714
src/tests/test_train_pipeline.py sha256=LfV-qB6ChCwbIMfpVYbQA1KPIwAifRjNJBp1bAUApIo 1165
src/tests/utils.py sha256=MCv7b2S41X3FxQAWvT1UtzWKJlgnkUfjichYvtnWH18 5332
ml_in_prod_juliarty_ml_project_1-0.2.0.dist-info/LICENSE sha256=ACwmltkrXIz5VsEQcrqljq-fat6ZXAMepjXGoe40KtE 1069
ml_in_prod_juliarty_ml_project_1-0.2.0.dist-info/METADATA sha256=JV4moSlhonxt0SRRU9z70rHpg3IJY9Oo4K_qbDtdNVs 9629
ml_in_prod_juliarty_ml_project_1-0.2.0.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
ml_in_prod_juliarty_ml_project_1-0.2.0.dist-info/top_level.txt sha256=_yxRIAXPK-uKzES8hFjwwfVpzKtupQA8V-eyLxviQeQ 11
ml_in_prod_juliarty_ml_project_1-0.2.0.dist-info/RECORD — —

top_level.txt

ml_project