Use customized aggregation

Describe the solution you'd like
To easily use customised aggregation for Histogram data points like:

provider = MeterProvider(
            resource=resource,
            metric_readers=metric_reader_list,
            views=[
                View(
                    instrument_type=Histogram,
                    instrument_name="*",
                    aggregation=(CustomizedHistogramAggregation()),
                )
            ],
        )

Now, to be able to get my customized aggregated metrics, I have to edit the file: opentelemetry/sdk/metrics/_internal/metric_reader_storage.py

added the following after line 205 in the collect():

  elif isinstance(
          view_instrument_match._aggregation,
          _CustomizedHistogramAggregation, # here is the customized class I added 
  ):
      data = Histogram(
          data_points=data_points,
          aggregation_temporality=aggregation_temporality,
      )

Start in opentelemetry-sdk/src/opentelemetry/sdk/metrics/_internal/metric_reader_storage.py, especially collect() around line 205, and trace how View aggregation types are handled. The work is done when a custom Histogram aggregation can be selected through View without editing SDK internals; the issue does not name a test file.