Wheelodex » Projects » sagemaker-data-insights

sagemaker-data-insights

View on PyPI — Reverse Dependencies (3)

0.4.0 sagemaker_data_insights-0.4.0-py3-none-any.whl

Wheel Details

Project: sagemaker-data-insights
Version: 0.4.0
Filename: sagemaker_data_insights-0.4.0-py3-none-any.whl
Download: [link]
Size: 99381
MD5: 54a0cc5b038d14237cd2ff8bb67530a1
SHA256: 3d8f8e781c57a086cc29290ec6f894aa0b80363a8a6d0bf231f49f74008182a3
Uploaded: 2023-03-28 21:11:32 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: sagemaker-data-insights
Version: 0.4.0
Summary: Data Insights Library for Amazon SageMaker.
Author: Amazon Web Services
Home-Page: https://github.com/aws/sagemaker-data-insights/
License: AWS Customer Agreement
Keywords: ML Amazon AWS SageMaker Data Insights
Classifier: Development Status :: 4 - Beta
Requires-Python: >=3.7
Requires-Dist: numpy (>=1.21.6)
Requires-Dist: psutil (>=5.6.7)
Requires-Dist: pandas (>=1.1.4)
Requires-Dist: scikit-learn (>=0.22.1)
Requires-Dist: scipy (>=1.4.1)
Requires-Dist: sagemaker-scikit-learn-extension (==2.5.0)
Requires-Dist: pyspark (==3.2.1); extra == "spark"
Requires-Dist: pydeequ (==1.0.1); extra == "spark"
Requires-Dist: tox; extra == "test"
Requires-Dist: tox-conda (==0.7.3); extra == "test"
Requires-Dist: pytest; extra == "test"
Requires-Dist: coverage; extra == "test"
Requires-Dist: mock; extra == "test"
Requires-Dist: altair; extra == "test"
Provides-Extra: spark
Provides-Extra: test
License-File: LICENSE
License-File: NOTICE
[Description omitted; length: 89 characters]

WHEEL

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

RECORD

Path Digest Size
sagemaker_data_insights/__init__.py sha256=OufNPuIy4jCdbLWSaLxaAn0xofFJzHGKM88X5wZPcF0 926
sagemaker_data_insights/analyze_feature.py sha256=SV9TmYfAlUwNI_5wH-EqaYhoKj8gm1QpyU5bF60Pj8E 30953
sagemaker_data_insights/analyze_target.py sha256=pAc9nMCmBN8rROkjsXpSPcWjte-3iWfzZ3MssDZ9txw 19402
sagemaker_data_insights/calc_stats_pandas_series.py sha256=ie0MloLtFxotOpBlogxQLV5QG161v3Vs2LRtYIlJIRo 4327
sagemaker_data_insights/categorical_utils.py sha256=eNOV58onmRShvh_J3neJIaoasOUKj2BXBDEMPlObPp8 5636
sagemaker_data_insights/const.py sha256=YEYAfR4qbYNL_9g9JNiS1hDRCKOVtSG45dqMnvjqt64 4005
sagemaker_data_insights/cross_column_stats.py sha256=2uQfQEvbc_Opm6sWj1u5SePjPQXTGviRh5XmGvzKO2c 5606
sagemaker_data_insights/histogram_functions.py sha256=g81Cx5YvekJrymL6mnl35eMpiScdiNXWiFHTbnXThyo 12105
sagemaker_data_insights/insights.py sha256=Y121uPHpbUYMWZiP_MsOQeO2CZ-TY2dg6JUCKvOViGc 10018
sagemaker_data_insights/model_utils.py sha256=QqF2U8tgzqB24Dapqx26hS9l5llQxGy_aEB6b-2DC3g 33595
sagemaker_data_insights/spark_session.py sha256=Inhxl2Nmw5b0GPNxuytyjhlgwsLUeaovxADOicPcwfU 289
sagemaker_data_insights/text_utils.py sha256=Z_1RU3H9arHjB0EyOrYgNwVJHpu4tgtcOem5anv8bog 11044
sagemaker_data_insights/visualize.py sha256=wnDV_m_-5Xk7gTzRic2mc2emblDHa4zeDo36si7C3AM 25876
sagemaker_data_insights/word_cloud.py sha256=TxJ8z16lQuQOKe8k-Rx1_R_ZBg87mGZA5BLcVs0K9uQ 8825
sagemaker_data_insights/xgboost_utils.py sha256=MEe68liYg9ucdzndK1EutD7sCZexKpI7NZFJZLG50r4 964
sagemaker_data_insights/analyzers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sagemaker_data_insights/analyzers/binary_analyzer.py sha256=amSXLtNxzZhwqhYJTlIN-Xa21inWlrS5LspEviQCn-U 563
sagemaker_data_insights/analyzers/categorical_analyzer.py sha256=9sJT8EX6ZMbUZ-vidDxKEedzeyh1NkAZK7I747gq7Ro 1894
sagemaker_data_insights/analyzers/datetime_analyzer.py sha256=9cOr49897X0vMIXLAHFgZmRNyRU6kZbYludSZrmM7BI 2257
sagemaker_data_insights/analyzers/feature_analyzer.py sha256=NngMmIw8yMKzLFi66OXOjV8pntaqJ61GZMwnGEX6bwc 6589
sagemaker_data_insights/analyzers/numeric_analyzer.py sha256=qlkW1RPuyg0zGki4kHW3IwmxF2GQvOFkeX2U_Lc4yac 2039
sagemaker_data_insights/analyzers/target_column_analyzer.py sha256=tu2qwg9CKdlznXA5fDCWjF5JpGBkxQb2t163RMbFBS4 11414
sagemaker_data_insights/analyzers/text_analyzer.py sha256=EPMjsqQUphPKW3QdL1DNPk9A2LLcezVOCxViTRTQfkw 5145
sagemaker_data_insights/analyzers/vector_analyzer.py sha256=QxnD1_acF10Uc1oforEoDgSF4FDVHvDe78F7bUzMX5Q 518
sagemaker_data_insights/analyzers/insights/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sagemaker_data_insights/analyzers/insights/model_insights.py sha256=JUeJTQcDbOM8dobzrVRBzb8Ep53YFm_v5KH2VT9SdUA 4975
sagemaker_data_insights/analyzers/insights/sklearn_utils.py sha256=50Jg8r808sZ3ijHcXmOOH7jqPwSjZ442SeoC_8cm30g 4624
sagemaker_data_insights/analyzers/insights/utils.py sha256=32PFBrp4D7Lh1CIxeQPxaEO_OFXuIUxoSAy-Akl9cu8 11926
sagemaker_data_insights/analyzers/spark_engine/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sagemaker_data_insights/analyzers/spark_engine/feature_analyzer.py sha256=giJa1WIh4P3liiSEiNNn6bp4146XOqNaZWK0iPwBkLE 2195
sagemaker_data_insights/analyzers/spark_engine/numeric_analyzer.py sha256=pZI6XRcJVmY5jjDbdpAl3o8byfRMB8i38dBplN6poOM 398
sagemaker_data_insights/analyzers/spark_engine/string_analyzer.py sha256=loKyf5x0UTyYinp9efVWrSG1m_a4aV_oxzn59Vx85Qc 734
sagemaker_data_insights/column_data_insights/__init__.py sha256=U4jMeICJaUZeyd48MrRnxobHSiZqcw9ml30RwTE_25k 142
sagemaker_data_insights/column_data_insights/column_insights_data.py sha256=CaZuqWbX7qUhgWLE-h56ghNC6zX0zNTLoLyIIKoTbws 3192
sagemaker_data_insights/column_data_insights/constants.py sha256=rpV7AuB32cxQQEs_sbQ-j5ZdtTKy0ts1t9clKLng_bo 727
sagemaker_data_insights/column_data_insights/utils.py sha256=9s8s2a5JDstZOSsIKRoV9C243Ey-gAS-XXZ9aYVQZh8 8214
sagemaker_data_insights/metrics/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sagemaker_data_insights/metrics/metrics.py sha256=zhnQwjydRb9B1_QK4zSf8s46eNcZik8T2nSvA_h07g0 604
sagemaker_data_insights/metrics/target_metrics.py sha256=lwrafgvgMkUcE20WZsbMgbfYiwSY_ajc0LkpNqsAd_4 296
sagemaker_data_insights/patterns/__init__.py sha256=MPGvZAAQ9Y_QGGKghaZzekO0AnonkRGGhgxN7XU44EQ 357
sagemaker_data_insights/patterns/analyze_patterns.py sha256=GTyuNVFXmOiq7fpTqrsi7-_zVN9FUJbD-cKU7lihCeQ 3560
sagemaker_data_insights/patterns/expression.py sha256=Cqdx_FdcgVBWTxsLkFn78rHbBVu9AjMRphpoqClN8VU 19376
sagemaker_data_insights/patterns/parse.py sha256=vPFrYREHPZu1etwibWe7S6Ux6z3IINDSW-NsNrwz-8o 1033
sagemaker_data_insights/patterns/tokens.py sha256=2f0AtAReqtsD-XuXWbtNWJeV_XR9dY4M_aEmwZ0uaE8 8670
sagemaker_data_insights/patterns/utils.py sha256=L0I8q2d68VYx4eD7uobbB3VOVmNXKPWDDnhruid1WD4 2273
sagemaker_data_insights/profilers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sagemaker_data_insights/profilers/type_inference.py sha256=NfTBCWKlnrJsjGYg7LwwY57BqaqSMnb29iQ5qg5_Neo 7099
sagemaker_data_insights/profilers/spark_engine/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sagemaker_data_insights/profilers/spark_engine/column_profiler.py sha256=CYNBWOPuaiOJR8pl-QvBccANEtxwcThUNxPeRC-47KI 561
sagemaker_data_insights/transformers/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sagemaker_data_insights/transformers/spark_transformer.py sha256=Ictz52JP0fCKUmElWzA19anP4StKrtKwfHsYJm41XU8 1936
sagemaker_data_insights/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
sagemaker_data_insights/utils/column_utils.py sha256=LIOsb8QWLB8WLEBcS-dXr0FlpkWXgooBgPJ9s600EGk 2418
sagemaker_data_insights/utils/date_time.py sha256=gG_V7wQZq_zt9SUxJhHSZiRArcxYoEOLlB6c_b4Av00 12685
sagemaker_data_insights/utils/feature_transform.py sha256=vhp8MeMqFU99keHNeDe5iw9f_bXVoPkfXwTuV147Bdk 686
sagemaker_data_insights-0.4.0.dist-info/LICENSE sha256=NxkZor6cTLgd7MroBzj4CIRWL_nwCnWS3Nr3k0onPPM 159
sagemaker_data_insights-0.4.0.dist-info/METADATA sha256=mVJSv9WTIwVXq56e12kRRGu3JsmdX1xDo4YGzF1kXJc 1107
sagemaker_data_insights-0.4.0.dist-info/NOTICE sha256=1CkO1kwu3Q_OHYTj-d-yiBJA_lNN73a4zSntavaD4oc 67
sagemaker_data_insights-0.4.0.dist-info/WHEEL sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18 92
sagemaker_data_insights-0.4.0.dist-info/top_level.txt sha256=cX-3a2dMuW_SJOqTtVDviiZwN48Q5UoyM4eiRH2OrBs 24
sagemaker_data_insights-0.4.0.dist-info/RECORD — —

top_level.txt

sagemaker_data_insights