azureml-designer-datatransform-modules
Modules to transform dataset, such as by applying math operations, sql queries, clipping outliers or generating a statistics report.
Installation
In a virtualenv (see these instructions if you need to create one):
pip3 install azureml-designer-datatransform-modules
Releases
Version | Released | Bullseye Python 3.9 |
Bookworm Python 3.11 |
Files |
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0.0.100 | 2024-12-03 | |||
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0.0.99 | 2024-12-03 | |||
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0.0.98 | 2024-11-29 | |||
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0.0.97 | 2022-11-08 | |||
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0.0.96 | 2022-08-16 | |||
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0.0.95 | 2022-07-27 | |||
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0.0.94 | 2022-07-25 | |||
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0.0.93 | 2022-07-19 | |||
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0.0.92 | 2022-07-19 | |||
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0.0.91 | 2022-07-18 | |||
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0.0.89 | 2022-04-26 | |||
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0.0.88 | 2022-04-20 | |||
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0.0.87 | 2022-02-23 | |||
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0.0.86 | 2022-02-23 | |||
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0.0.85 | 2022-02-15 | |||
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0.0.84 | 2022-02-11 | |||
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0.0.83 | 2022-02-10 | |||
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0.0.82 | 2021-12-02 | |||
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0.0.81 | 2021-11-01 | |||
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0.0.80 | 2021-10-13 | |||
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0.0.79 | 2021-09-30 | |||
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0.0.78 | 2021-09-07 | |||
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0.0.77 | 2021-07-19 | |||
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0.0.76 | 2021-06-25 | |||
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0.0.75 | 2021-05-24 | |||
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0.0.74 | 2021-04-13 | |||
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0.0.73 | 2021-04-07 | |||
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0.0.72 | 2021-03-17 | |||
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0.0.71 | 2021-02-26 | |||
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0.0.70 | 2021-02-18 | |||
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0.0.69 | 2021-01-28 | |||
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0.0.68 | 2021-01-05 | |||
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0.0.67 | 2020-12-14 | |||
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0.0.66 | 2020-12-02 | |||
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0.0.65 | 2020-12-01 | |||
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0.0.64 | 2020-11-20 | |||
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0.0.63 | 2020-10-30 | |||
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0.0.62 | 2020-10-14 | |||
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0.0.61 | 2020-09-18 | |||
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0.0.60 | 2020-09-09 | |||
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0.0.59 | 2020-09-08 | |||
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0.0.58 | 2020-09-08 | |||
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0.0.57 | 2020-08-27 | |||
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0.0.56 | 2020-08-20 | |||
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0.0.55 | 2020-08-12 | |||
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0.0.54 | 2020-08-07 | |||
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0.0.53 | 2020-07-29 | |||
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0.0.52 | 2020-07-20 | |||
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0.0.51 | 2020-07-16 | |||
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0.0.50 | 2020-06-30 | |||
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0.0.49 | 2020-06-09 | |||
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0.0.48 | 2020-05-22 | |||
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0.0.47 | 2020-05-14 | |||
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0.0.46 | 2020-05-08 | |||
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0.0.45 | 2020-04-24 | |||
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0.0.44 | 2020-04-10 | |||
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0.0.43 | 2020-03-25 | |||
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0.0.42 | 2020-03-17 | |||
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0.0.41 | 2020-03-11 | |||
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0.0.40 | 2020-02-25 | |||
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0.0.39 | 2020-01-15 | |||
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0.0.38 | 2019-11-18 | |||
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0.0.37 | 2019-11-12 | |||
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0.0.36 | 2019-11-11 | |||
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0.0.33 | 2019-10-30 | |||
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0.0.32 | 2019-10-28 | |||
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0.0.31 | 2019-10-24 | |||
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0.0.30 | 2019-10-24 | |||
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0.0.29.8 | 2019-10-23 | |||
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0.0.29.7 | 2019-10-23 | |||
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0.0.29.6 | 2019-10-18 | |||
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