quick_anomaly_detector.pipelineClass.AggMinMax

class quick_anomaly_detector.pipelineClass.AggMinMax(groupby='', aggcol='')

groupby: ‘f1’, aggcol: ‘f2’ function: X_.groupby(‘f1’)[‘f2’].agg(min_=’min’, max_=’max’) return agg_df

Methods

`__init__`([groupby, aggcol])
`fit`(X[, y])
`get_metadata_routing`()	Get metadata routing of this object.
`get_params`([deep])	Get parameters for this estimator.
`set_params`(**params)	Set the parameters of this estimator.
`transform`(X[, y])