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// This file is autogenerated, DO NOT EDIT
// ml/anomaly-detection/apis/preview-datafeed.asciidoc:157
[source, python]
----
resp = client.ml.preview_datafeed(
datafeed_config={
"indices": [
"kibana_sample_data_ecommerce"
],
"query": {
"bool": {
"filter": [
{
"term": {
"_index": "kibana_sample_data_ecommerce"
}
}
]
}
},
"scroll_size": 1000
},
job_config={
"description": "Find customers spending an unusually high amount in an hour",
"analysis_config": {
"bucket_span": "1h",
"detectors": [
{
"detector_description": "High total sales",
"function": "high_sum",
"field_name": "taxful_total_price",
"over_field_name": "customer_full_name.keyword"
}
],
"influencers": [
"customer_full_name.keyword",
"category.keyword"
]
},
"analysis_limits": {
"model_memory_limit": "10mb"
},
"data_description": {
"time_field": "order_date",
"time_format": "epoch_ms"
}
},
)
print(resp)
----
|
