PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
Replacement pipeline_dp.Metrics -> pipeline.Metric (the difference: the type of metrics is pipeline.Metric, pipeline_dp.Metrics is a storage of of different metrics).
Replacement pipeline_dp.budget_accountant.MechanismSpec -> budget_accountant.MechanismSpec (because the former doesn't work in Colab)
This PR contains the following changes:
pipeline_dp.Metrics->pipeline.Metric(the difference: the type of metrics ispipeline.Metric,pipeline_dp.Metricsis a storage of of different metrics).pipeline_dp.budget_accountant.MechanismSpec->budget_accountant.MechanismSpec(because the former doesn't work in Colab)