[DOCS] Fixes indentation in inference processor code snippet (#51252)

This commit is contained in:
István Zoltán Szabó 2020-01-21 16:21:17 +01:00
parent 6b5b26a595
commit 30d1587ad5
1 changed files with 16 additions and 16 deletions

View File

@ -12,7 +12,7 @@ ingested in the pipeline.
[options="header"]
|======
| Name | Required | Default | Description
| `model_id` | yes | - | (String) The ID of the model to load and infer against.
| `model_id` | yes | - | (String) The ID of the model to load and infer against.
| `target_field` | no | `ml.inference.<processor_tag>` | (String) Field added to incoming documents to contain results objects.
| `field_mappings` | yes | - | (Object) Maps the document field names to the known field names of the model.
| `inference_config` | yes | - | (Object) Contains the inference type and its options. There are two types: <<inference-processor-regression-opt,`regression`>> and <<inference-processor-classification-opt,`classification`>>.
@ -23,13 +23,13 @@ include::common-options.asciidoc[]
[source,js]
--------------------------------------------------
{
"inference": {
"model_id": "flight_delay_regression-1571767128603",
"target_field": "FlightDelayMin_prediction_infer",
"field_mappings": {},
"inference_config": {"regression": {}},
"model_info_field": "ml"
}
"inference": {
"model_id": "flight_delay_regression-1571767128603",
"target_field": "FlightDelayMin_prediction_infer",
"field_mappings": {},
"inference_config": { "regression": {} },
"model_info_field": "ml"
}
}
--------------------------------------------------
// NOTCONSOLE
@ -73,10 +73,10 @@ Specifies the field to which the top classes are written. Defaults to
--------------------------------------------------
{
"inference_config": {
“regression”: {
“results_field”: “my_regression”
"regression": {
"results_field": "my_regression"
}
},
}
}
--------------------------------------------------
// NOTCONSOLE
@ -90,12 +90,12 @@ object.
--------------------------------------------------
{
"inference_config": {
“classification”: {
“num_top_classes”: 2,
“results_field”: “prediction”,
“top_classes_results_field”: “probabilities”
}
"classification": {
"num_top_classes": 2,
"results_field": "prediction",
"top_classes_results_field": "probabilities"
}
}
}
--------------------------------------------------
// NOTCONSOLE