Troubleshooting
Problem
If the aggregation_methods for the contextual anomaly has only simple statistics or advanced statistics, the model training fails. For example, the following is invalid aggregation_methods:
'aggregation_methods': ["max", "min"]
'aggregation_methods': ["rate_of_change"]
The list of simple statistics: ["mean", "max", "min", "median", "std", "sum", "count"]
The list of advanced statistics:
[
"rate_of_change",
"sum_of_change",
"absoluate_sum_of_changes",
"trend_slop",
"abs_energy",
"mean_abs_change",
"mean_change",
"mean_second_derivate_central",
"count_above_mean",
"count_below_mean",
"last_location_of_maximum",
"first_location_of_maximum",
"corr_coefficient",
]
Resolving The Problem
The aggregation_methods for the contextual anomaly detection model needs to have both simple statistics and advanced statistics. For example,
'aggregation_methods': ["max", "min","rate_of_change"]
The list of simple statistics: ["mean", "max", "min", "median", "std", "sum", "count"]
The list of advanced statistics:
[
"rate_of_change",
"sum_of_change",
"absoluate_sum_of_changes",
"trend_slop",
"abs_energy",
"mean_abs_change",
"mean_change",
"mean_second_derivate_central",
"count_above_mean",
"count_below_mean",
"last_location_of_maximum",
"first_location_of_maximum",
"corr_coefficient",
]
Document Location
Worldwide
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Document Information
Modified date:
26 October 2021
UID
ibm16508553