Times get converted to numpy datetime64 instead of Python datetime objects for TabularDataset filtering methods #381
Description
For the filter_dataset_before_time method,
library(azuremlsdk)
ws = get_workspace('workspace-name')
mydate <- as.POSIXct("2011-05-01 17:55:23")
ds <- get_dataset_by_name(ws, 'test_date', version = "latest")
ds <- filter_dataset_before_time(ds, mydate)
the following error gets thrown:
Error in py_call_impl(callable, dots$args, dots$keywords) : AttributeError: 'numpy.ndarray' object has no attribute 'microsecond'
Looks possibly related to this issue, where POSIXct time is getting automatically converted by reticulate to numpy datetim64 objects rather than Python datetime objects, which is what is expected by the underlying Python SDK filter methods for TabularDatasets.
Methods to fix:
- https://azure.github.io/azureml-sdk-for-r/reference/filter_dataset_before_time.html
- https://azure.github.io/azureml-sdk-for-r/reference/filter_dataset_after_time.html
- https://azure.github.io/azureml-sdk-for-r/reference/filter_dataset_between_time.html
- https://azure.github.io/azureml-sdk-for-r/reference/filter_dataset_from_recent_time.html