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// This file is autogenerated, DO NOT EDIT
// ml/anomaly-detection/apis/put-job.asciidoc:420
[source, python]
----
resp = client.ml.put_job(
job_id="test-job1",
pretty=True,
analysis_config={
"bucket_span": "15m",
"detectors": [
{
"detector_description": "Sum of bytes",
"function": "sum",
"field_name": "bytes"
}
]
},
data_description={
"time_field": "timestamp",
"time_format": "epoch_ms"
},
analysis_limits={
"model_memory_limit": "11MB"
},
model_plot_config={
"enabled": True,
"annotations_enabled": True
},
results_index_name="test-job1",
datafeed_config={
"indices": [
"kibana_sample_data_logs"
],
"query": {
"bool": {
"must": [
{
"match_all": {}
}
]
}
},
"runtime_mappings": {
"hour_of_day": {
"type": "long",
"script": {
"source": "emit(doc['timestamp'].value.getHour());"
}
}
},
"datafeed_id": "datafeed-test-job1"
},
)
print(resp)
----
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