[ML][Inference] adding more options to inference processor #48545
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Pinging @elastic/ml-core (:ml) |
przemekwitek
approved these changes
Oct 28, 2019
| if (modelInfoField != null) { | ||
| ingestDocument.setFieldValue(modelInfoField, modelInfo); | ||
| if (includeModelMetadata) { | ||
| ingestDocument.setFieldValue(modelInfoField + "." + MODEL_ID, modelId); |
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It seems that modelInfoField should never be null?
Does it make sense to add requireNonNull in the constructor?
| if (modelInfoField != null && tag != null) { | ||
| String modelInfoField = ConfigurationUtils.readStringProperty(TYPE, tag, config, MODEL_INFO_FIELD, "ml"); | ||
| // If multiple inference processors are in the same pipeline, it is wise to tag them | ||
| // The tag will keep metadata entries from stepping on eachother |
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Suggested change
| // The tag will keep metadata entries from stepping on eachother | |
| // The tag will keep metadata entries from stepping on each other |
| @@ -142,7 +179,8 @@ public void testGenerateRequestWithEmptyMapping() { | |||
| modelId, | |||
| new ClassificationConfig(topNClasses), | |||
| Collections.emptyMap(), | |||
| null); | |||
| "ml.my_processor", | |||
| false); | |||
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| false); | |
| false); |
benwtrent
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Nov 18, 2019
* [ML][Inference] adds lazy model loader and inference (#47410) This adds a couple of things: - A model loader service that is accessible via transport calls. This service will load in models and cache them. They will stay loaded until a processor no longer references them - A Model class and its first sub-class LocalModel. Used to cache model information and run inference. - Transport action and handler for requests to infer against a local model Related Feature PRs: * [ML][Inference] Adjust inference configuration option API (#47812) * [ML][Inference] adds logistic_regression output aggregator (#48075) * [ML][Inference] Adding read/del trained models (#47882) * [ML][Inference] Adding inference ingest processor (#47859) * [ML][Inference] fixing classification inference for ensemble (#48463) * [ML][Inference] Adding model memory estimations (#48323) * [ML][Inference] adding more options to inference processor (#48545) * [ML][Inference] handle string values better in feature extraction (#48584) * [ML][Inference] Adding _stats endpoint for inference (#48492) * [ML][Inference] add inference processors and trained models to usage (#47869) * [ML][Inference] add new flag for optionally including model definition (#48718) * [ML][Inference] adding license checks (#49056) * [ML][Inference] Adding memory and compute estimates to inference (#48955)
benwtrent
added a commit
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Nov 18, 2019
* [ML][Inference] adds lazy model loader and inference (elastic#47410) This adds a couple of things: - A model loader service that is accessible via transport calls. This service will load in models and cache them. They will stay loaded until a processor no longer references them - A Model class and its first sub-class LocalModel. Used to cache model information and run inference. - Transport action and handler for requests to infer against a local model Related Feature PRs: * [ML][Inference] Adjust inference configuration option API (elastic#47812) * [ML][Inference] adds logistic_regression output aggregator (elastic#48075) * [ML][Inference] Adding read/del trained models (elastic#47882) * [ML][Inference] Adding inference ingest processor (elastic#47859) * [ML][Inference] fixing classification inference for ensemble (elastic#48463) * [ML][Inference] Adding model memory estimations (elastic#48323) * [ML][Inference] adding more options to inference processor (elastic#48545) * [ML][Inference] handle string values better in feature extraction (elastic#48584) * [ML][Inference] Adding _stats endpoint for inference (elastic#48492) * [ML][Inference] add inference processors and trained models to usage (elastic#47869) * [ML][Inference] add new flag for optionally including model definition (elastic#48718) * [ML][Inference] adding license checks (elastic#49056) * [ML][Inference] Adding memory and compute estimates to inference (elastic#48955)
benwtrent
added a commit
that referenced
this pull request
Nov 18, 2019
* [ML] ML Model Inference Ingest Processor (#49052) * [ML][Inference] adds lazy model loader and inference (#47410) This adds a couple of things: - A model loader service that is accessible via transport calls. This service will load in models and cache them. They will stay loaded until a processor no longer references them - A Model class and its first sub-class LocalModel. Used to cache model information and run inference. - Transport action and handler for requests to infer against a local model Related Feature PRs: * [ML][Inference] Adjust inference configuration option API (#47812) * [ML][Inference] adds logistic_regression output aggregator (#48075) * [ML][Inference] Adding read/del trained models (#47882) * [ML][Inference] Adding inference ingest processor (#47859) * [ML][Inference] fixing classification inference for ensemble (#48463) * [ML][Inference] Adding model memory estimations (#48323) * [ML][Inference] adding more options to inference processor (#48545) * [ML][Inference] handle string values better in feature extraction (#48584) * [ML][Inference] Adding _stats endpoint for inference (#48492) * [ML][Inference] add inference processors and trained models to usage (#47869) * [ML][Inference] add new flag for optionally including model definition (#48718) * [ML][Inference] adding license checks (#49056) * [ML][Inference] Adding memory and compute estimates to inference (#48955) * fixing version of indexed docs for model inference
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This adds the option to include/exclude model metadata from the doc as it passes through the processor.
Additionally, we no longer overwrite the field if it exists already but add it into the path.