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|---|---|---|---|---|
| Features | AWS | GCP | Azure | Databricks |
| Data pipeline | Data Pipeline | Dataflow | Data Factory | Spark |
| Feature Store | Feature Store | --- | --- | Feature Store |
| Model Monitoring | Model Monitor | --- | [Azure Monitor](https://docs.microsoft.com/en-us/azure/machine-learning/monitor-azure-machine-learnin |
Ash Smith AshHimself
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| { | |
| "success": false, | |
| "results": [ | |
| { | |
| "expectation_config": { | |
| "kwargs": { | |
| "column_list": [ | |
| "flight_number", | |
| "date", | |
| "time_utc", |
AshHimself
/ part_4_assert_our_data.py
Last active
September 20, 2020 07:33
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| df_ge = ge.dataset.PandasDataset(df) #Load pd dataframe into great_expectations (GE) | |
| #Define a rule to define the order and fields that should exist | |
| df_ge.expect_table_columns_to_match_ordered_list(['flight_number', | |
| 'date', | |
| 'time_utc', | |
| 'booster_version', | |
| 'launch_site', | |
| 'payload', | |
| 'customer', |
AshHimself
/ machine-learning-platforms-compared.md
Last active
February 23, 2022 06:42