[ML] adding prediction_field_type to inference config#55128
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benwtrent merged 6 commits intoelastic:masterfrom Apr 15, 2020
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...src/main/java/org/elasticsearch/xpack/core/ml/inference/trainedmodel/PredictedFieldType.java
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...c/main/java/org/elasticsearch/xpack/core/ml/inference/trainedmodel/ClassificationConfig.java
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.../ml/src/main/java/org/elasticsearch/xpack/ml/dataframe/process/AnalyticsResultProcessor.java
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…' of github.com:benwtrent/elasticsearch into feature/ml-inference-handle-different-target-field-typs
lcawl
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Apr 14, 2020
| (Optional, string) | ||
| include::{docdir}/ml/ml-shared.asciidoc[tag=inference-config-classification-top-classes-results-field] | ||
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| `prediction_field_type`:::: |
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prediction_field_type
Not a big deal, but these properties are typically sorted alphabetically, and this seems to fall out of that sort order.
przemekwitek
approved these changes
Apr 15, 2020
| throw new IllegalArgumentException( | ||
| "Cannot transform numbers other than 0.0 or 1.0 to boolean. Provided number [" + value + "]"); | ||
| } | ||
| return (1.0D - value) <= EPS; |
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Could areClose be used here as well for clarity?
| import java.util.Locale; | ||
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| /** | ||
| * The type of the predicted field. |
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benwtrent
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Data frame analytics dynamically determines the classification field type. This field type then dictates the encoded JSON that is written to Elasticsearch. Inference needs to know about this field type so that it may provide the EXACT SAME predicted values as analytics. Here is added a new field `prediction_field_type` which indicates the desired type. Options are: `string` (DEFAULT), `number`, `boolean` (where close_to(1.0) == true, false otherwise). Analytics provides the default `prediction_field_type` when the model is created from the process.
benwtrent
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Apr 15, 2020
…55230) * [ML] adding prediction_field_type to inference config (#55128) Data frame analytics dynamically determines the classification field type. This field type then dictates the encoded JSON that is written to Elasticsearch. Inference needs to know about this field type so that it may provide the EXACT SAME predicted values as analytics. Here is added a new field `prediction_field_type` which indicates the desired type. Options are: `string` (DEFAULT), `number`, `boolean` (where close_to(1.0) == true, false otherwise). Analytics provides the default `prediction_field_type` when the model is created from the process.
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Data frame analytics dynamically determines the classification field type. This field type then dictates the encoded JSON that is written to Elasticsearch.
Inference needs to know about this field type so that it may provide the EXACT SAME predicted values as analytics.
Here is added a new field
prediction_field_typewhich indicates the desired type. Options are:string(DEFAULT),number,boolean(where close_to(1.0) == true, false otherwise).Analytics provides the default
prediction_field_typewhen the model is created from the process.