Aggregate

---

Performs a Rolling Aggregate on the input data according to specifications.

Given:

• df_artifact: Input DataFrame
• keys: Labels to work by
• metrics: List of metrics to perform the aggregate task on
• labels: List of labels to perform the label aggregate on
• metric_aggs: Array of aggregations to run on the metrics
  ex: ['mean', 'sum']
• label_aggs: Array of aggregations to run on the labels
  ex: ['max']
• suffix: A suffix to add to the aggregations (ex: '_daily')
• window: Window size, can be int for number of rows, or in time interval string if timestamp index is available
• center: Perform aggregation on the sample at the window's center
• inplace:
• True: Returns only the newly aggregated data
• False: Returns the newly aggregated data with the original dataset