Evaluate data frame analytics
The API packages together commonly used evaluation metrics for various types of machine learning features. This has been designed for use on indexes created by data frame analytics. Evaluation requires both a ground truth field and an analytics result field to be present.
Body Required
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classification object
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Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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predicted_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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top_classes_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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metrics object
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auc_roc object
Hide auc_roc attributes Show auc_roc attributes object
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class_name string
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include_curve boolean
Whether or not the curve should be returned in addition to the score. Default value is false.
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precision object
Precision of predictions (per-class and average).
Hide precision attributes Show precision attributes object
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key object
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recall object
Recall of predictions (per-class and average).
Hide recall attributes Show recall attributes object
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key object
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accuracy object
Accuracy of predictions (per-class and overall).
Hide accuracy attributes Show accuracy attributes object
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key object
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multiclass_confusion_matrix object
Multiclass confusion matrix.
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key object
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outlier_detection object
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Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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metrics object
Hide metrics attributes Show metrics attributes object
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auc_roc object
Hide auc_roc attributes Show auc_roc attributes object
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class_name string
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include_curve boolean
Whether or not the curve should be returned in addition to the score. Default value is false.
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precision object
Precision of predictions (per-class and average).
Hide precision attributes Show precision attributes object
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key object
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recall object
Recall of predictions (per-class and average).
Hide recall attributes Show recall attributes object
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key object
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confusion_matrix object
Accuracy of predictions (per-class and overall).
Hide confusion_matrix attributes Show confusion_matrix attributes object
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key object
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regression object
Hide regression attributes Show regression attributes object
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Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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metrics object
Hide metrics attributes Show metrics attributes object
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mse object
Average squared difference between the predicted values and the actual (ground truth) value. For more information, read this wiki article.
Hide mse attributes Show mse attributes object
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key object
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msle object
Hide msle attribute Show msle attribute object
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offset number
Defines the transition point at which you switch from minimizing quadratic error to minimizing quadratic log error. Defaults to 1.
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huber object
Hide huber attribute Show huber attribute object
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delta number
Approximates 1/2 (prediction - actual)2 for values much less than delta and approximates a straight line with slope delta for values much larger than delta. Defaults to 1. Delta needs to be greater than 0.
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r_squared object
Proportion of the variance in the dependent variable that is predictable from the independent variables.
Hide r_squared attributes Show r_squared attributes object
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key object
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query object
Hide query attributes Show query attributes object
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bool object
Hide bool attributes Show bool attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
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_name string
filter object | array[object]
The clause (query) must appear in matching documents. However, unlike
must
, the score of the query will be ignored.minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
must object | array[object]
The clause (query) must appear in matching documents and will contribute to the score.
must_not object | array[object]
The clause (query) must not appear in the matching documents. Because scoring is ignored, a score of
0
is returned for all documents.should object | array[object]
The clause (query) should appear in the matching document.
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boosting object
Hide boosting attributes Show boosting attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
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_name string
-
Floating point number between 0 and 1.0 used to decrease the relevance scores of documents matching the
negative
query.
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combined_fields object
Hide combined_fields attributes Show combined_fields attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
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_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
Text to search for in the provided
fields
. Thecombined_fields
query analyzes the provided text before performing a search. -
If true, match phrase queries are automatically created for multi-term synonyms.
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operator string
Values are
or
orand
. minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
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zero_terms_query string
Values are
none
orall
.
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constant_score object
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dis_max object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
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_name string
-
One or more query clauses. Returned documents must match one or more of these queries. If a document matches multiple queries, Elasticsearch uses the highest relevance score.
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tie_breaker number
Floating point number between 0 and 1.0 used to increase the relevance scores of documents matching multiple query clauses.
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distance_feature object
One of: Hide attributes Show attributes
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
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_name string
-
Date or point of origin used to calculate distances. If the
field
value is adate
ordate_nanos
field, theorigin
value must be a date. Date Math, such asnow-1h
, is supported. If the field value is ageo_point
field, theorigin
value must be a geopoint. -
Distance from the
origin
at which relevance scores receive half of theboost
value. If thefield
value is adate
ordate_nanos
field, thepivot
value must be a time unit, such as1h
or10d
. If thefield
value is ageo_point
field, thepivot
value must be a distance unit, such as1km
or12m
. -
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
Hide attributes Show attributes
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
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_name string
origin object | array[number] | string Required
A latitude/longitude as a 2 dimensional point. It can be represented in various ways:
- as a
{lat, long}
object - as a geo hash value
- as a
[lon, lat]
array - as a string in
"<lat>, <lon>"
or WKT point formats
- as a
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
Hide attributes Show attributes
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
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_name string
-
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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exists object
Hide exists attributes Show exists attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
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_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
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function_score object
Hide function_score attributes Show function_score attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
boost_mode string
Values are
multiply
,replace
,sum
,avg
,max
, ormin
. -
functions array[object]
One or more functions that compute a new score for each document returned by the query.
Hide functions attributes Show functions attributes object
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filter object
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weight number
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field_value_factor object
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random_score object
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script_score object
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max_boost number
Restricts the new score to not exceed the provided limit.
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min_score number
Excludes documents that do not meet the provided score threshold.
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query object
-
score_mode string
Values are
multiply
,sum
,avg
,first
,max
, ormin
.
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fuzzy object
Returns documents that contain terms similar to the search term, as measured by a Levenshtein edit distance.
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geo_bounding_box object
Hide geo_bounding_box attributes Show geo_bounding_box attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
type string
Values are
memory
orindexed
. -
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
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geo_distance object
Hide geo_distance attributes Show geo_distance attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
distance_type string
Values are
arc
orplane
. -
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
geo_polygon object
Hide geo_polygon attributes Show geo_polygon attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
-
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geo_shape object
Hide geo_shape attributes Show geo_shape attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
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has_child object
Hide has_child attributes Show has_child attributes object
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boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
type
and not return any documents instead of an error. -
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
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name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
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collapse object
Hide collapse attributes Show collapse attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
inner_hits object | array[object]
The number of inner hits and their sort order
-
The number of concurrent requests allowed to retrieve the inner_hits per group
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collapse object
-
-
docvalue_fields array[object]
Hide docvalue_fields attributes Show docvalue_fields attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
format string
Format in which the values are returned.
-
include_unmapped boolean
-
-
explain boolean
-
highlight object
Hide highlight attributes Show highlight attributes object
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boundary_chars string
A string that contains each boundary character.
-
boundary_max_scan number
How far to scan for boundary characters.
-
boundary_scanner string
Values are
chars
,sentence
, orword
. -
boundary_scanner_locale string
Controls which locale is used to search for sentence and word boundaries. This parameter takes a form of a language tag, for example:
"en-US"
,"fr-FR"
,"ja-JP"
. -
fragmenter string
Values are
simple
orspan
. -
fragment_size number
The size of the highlighted fragment in characters.
-
highlight_filter boolean
-
highlight_query object
-
max_fragment_length number
-
max_analyzed_offset number
If set to a non-negative value, highlighting stops at this defined maximum limit. The rest of the text is not processed, thus not highlighted and no error is returned The
max_analyzed_offset
query setting does not override theindex.highlight.max_analyzed_offset
setting, which prevails when it’s set to lower value than the query setting. -
no_match_size number
The amount of text you want to return from the beginning of the field if there are no matching fragments to highlight.
-
number_of_fragments number
The maximum number of fragments to return. If the number of fragments is set to
0
, no fragments are returned. Instead, the entire field contents are highlighted and returned. This can be handy when you need to highlight short texts such as a title or address, but fragmentation is not required. Ifnumber_of_fragments
is0
,fragment_size
is ignored. -
options object
-
order string
Value is
score
. -
phrase_limit number
Controls the number of matching phrases in a document that are considered. Prevents the
fvh
highlighter from analyzing too many phrases and consuming too much memory. When usingmatched_fields
,phrase_limit
phrases per matched field are considered. Raising the limit increases query time and consumes more memory. Only supported by thefvh
highlighter. -
post_tags array[string]
Use in conjunction with
pre_tags
to define the HTML tags to use for the highlighted text. By default, highlighted text is wrapped in<em>
and</em>
tags. -
pre_tags array[string]
Use in conjunction with
post_tags
to define the HTML tags to use for the highlighted text. By default, highlighted text is wrapped in<em>
and</em>
tags. -
require_field_match boolean
By default, only fields that contains a query match are highlighted. Set to
false
to highlight all fields. -
tags_schema string
Value is
styled
. -
encoder string
Values are
default
orhtml
.
-
ignore_unmapped boolean
-
script_fields object
Hide script_fields attributes Show script_fields attributes object
-
ignore_failure boolean
-
seq_no_primary_term boolean
-
fields string | array[string]
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
max_children number
Maximum number of child documents that match the query allowed for a returned parent document. If the parent document exceeds this limit, it is excluded from the search results.
-
min_children number
Minimum number of child documents that match the query required to match the query for a returned parent document. If the parent document does not meet this limit, it is excluded from the search results.
-
score_mode string
Values are
none
,avg
,sum
,max
, ormin
.
-
-
has_parent object
Hide has_parent attributes Show has_parent attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
parent_type
and not return any documents instead of an error. You can use this parameter to query multiple indices that may not contain theparent_type
. -
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
-
name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
-
collapse object
Hide collapse attributes Show collapse attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
inner_hits object | array[object]
The number of inner hits and their sort order
-
The number of concurrent requests allowed to retrieve the inner_hits per group
-
collapse object
-
-
docvalue_fields array[object]
Hide docvalue_fields attributes Show docvalue_fields attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
format string
Format in which the values are returned.
-
include_unmapped boolean
-
-
explain boolean
-
highlight object
Hide highlight attributes Show highlight attributes object
-
boundary_chars string
A string that contains each boundary character.
-
boundary_max_scan number
How far to scan for boundary characters.
-
boundary_scanner string
Values are
chars
,sentence
, orword
. -
boundary_scanner_locale string
Controls which locale is used to search for sentence and word boundaries. This parameter takes a form of a language tag, for example:
"en-US"
,"fr-FR"
,"ja-JP"
. -
fragmenter string
Values are
simple
orspan
. -
fragment_size number
The size of the highlighted fragment in characters.
-
highlight_filter boolean
-
highlight_query object
-
max_fragment_length number
-
max_analyzed_offset number
If set to a non-negative value, highlighting stops at this defined maximum limit. The rest of the text is not processed, thus not highlighted and no error is returned The
max_analyzed_offset
query setting does not override theindex.highlight.max_analyzed_offset
setting, which prevails when it’s set to lower value than the query setting. -
no_match_size number
The amount of text you want to return from the beginning of the field if there are no matching fragments to highlight.
-
number_of_fragments number
The maximum number of fragments to return. If the number of fragments is set to
0
, no fragments are returned. Instead, the entire field contents are highlighted and returned. This can be handy when you need to highlight short texts such as a title or address, but fragmentation is not required. Ifnumber_of_fragments
is0
,fragment_size
is ignored. -
options object
-
order string
Value is
score
. -
phrase_limit number
Controls the number of matching phrases in a document that are considered. Prevents the
fvh
highlighter from analyzing too many phrases and consuming too much memory. When usingmatched_fields
,phrase_limit
phrases per matched field are considered. Raising the limit increases query time and consumes more memory. Only supported by thefvh
highlighter. -
post_tags array[string]
Use in conjunction with
pre_tags
to define the HTML tags to use for the highlighted text. By default, highlighted text is wrapped in<em>
and</em>
tags. -
pre_tags array[string]
Use in conjunction with
post_tags
to define the HTML tags to use for the highlighted text. By default, highlighted text is wrapped in<em>
and</em>
tags. -
require_field_match boolean
By default, only fields that contains a query match are highlighted. Set to
false
to highlight all fields. -
tags_schema string
Value is
styled
. -
encoder string
Values are
default
orhtml
.
-
ignore_unmapped boolean
-
script_fields object
Hide script_fields attributes Show script_fields attributes object
-
ignore_failure boolean
-
seq_no_primary_term boolean
-
fields string | array[string]
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
score boolean
Indicates whether the relevance score of a matching parent document is aggregated into its child documents.
-
-
ids object
Hide ids attributes Show ids attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
values string | array[string]
-
-
intervals object
Returns documents based on the order and proximity of matching terms.
-
knn object
Hide knn attributes Show knn attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
query_vector array[number]
-
query_vector_builder object
Hide query_vector_builder attribute Show query_vector_builder attribute object
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text_embedding object
Hide text_embedding attributes Show text_embedding attributes object
-
-
num_candidates number
The number of nearest neighbor candidates to consider per shard
-
k number
The final number of nearest neighbors to return as top hits
filter object | array[object]
Filters for the kNN search query
-
similarity number
The minimum similarity for a vector to be considered a match
-
-
match object
Returns documents that match a provided text, number, date or boolean value. The provided text is analyzed before matching.
-
match_all object
Hide match_all attributes Show match_all attributes object
-
match_bool_prefix object
Analyzes its input and constructs a
bool
query from the terms. Each term except the last is used in aterm
query. The last term is used in a prefix query. -
match_none object
Hide match_none attributes Show match_none attributes object
-
match_phrase object
Analyzes the text and creates a phrase query out of the analyzed text.
-
match_phrase_prefix object
Returns documents that contain the words of a provided text, in the same order as provided. The last term of the provided text is treated as a prefix, matching any words that begin with that term.
-
more_like_this object
Hide more_like_this attributes Show more_like_this attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
The analyzer that is used to analyze the free form text. Defaults to the analyzer associated with the first field in fields.
-
boost_terms number
Each term in the formed query could be further boosted by their tf-idf score. This sets the boost factor to use when using this feature. Defaults to deactivated (0).
-
fail_on_unsupported_field boolean
Controls whether the query should fail (throw an exception) if any of the specified fields are not of the supported types (
text
orkeyword
). -
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
include boolean
Specifies whether the input documents should also be included in the search results returned.
like string | object | array[string | object]
Specifies free form text and/or a single or multiple documents for which you want to find similar documents.
One of: Hide attributes Show attributes
-
doc object
A document not present in the index.
-
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
_id string
-
_index string
-
per_field_analyzer object
Overrides the default analyzer.
-
routing string
-
version number
-
version_type string
Values are
internal
,external
,external_gte
, orforce
.
Text that we want similar documents for or a lookup to a document's field for the text.
-
-
max_doc_freq number
The maximum document frequency above which the terms are ignored from the input document.
-
max_query_terms number
The maximum number of query terms that can be selected.
-
max_word_length number
The maximum word length above which the terms are ignored. Defaults to unbounded (
0
). -
min_doc_freq number
The minimum document frequency below which the terms are ignored from the input document.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
min_term_freq number
The minimum term frequency below which the terms are ignored from the input document.
-
min_word_length number
The minimum word length below which the terms are ignored.
-
routing string
stop_words string | array[string]
Language value, such as arabic or thai. Defaults to english. Each language value corresponds to a predefined list of stop words in Lucene. See Stop words by language for supported language values and their stop words. Also accepts an array of stop words.
unlike string | object | array[string | object]
Used in combination with
like
to exclude documents that match a set of terms.One of: Hide attributes Show attributes
-
doc object
A document not present in the index.
-
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
_id string
-
_index string
-
per_field_analyzer object
Overrides the default analyzer.
-
routing string
-
version number
-
version_type string
Values are
internal
,external
,external_gte
, orforce
.
Text that we want similar documents for or a lookup to a document's field for the text.
-
-
version number
-
version_type string
Values are
internal
,external
,external_gte
, orforce
.
-
-
multi_match object
Hide multi_match attributes Show multi_match attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
Analyzer used to convert the text in the query value into tokens.
-
If
true
, match phrase queries are automatically created for multi-term synonyms. -
fields string | array[string]
fuzziness string | number
-
fuzzy_rewrite string
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). Can be applied to the term subqueries constructed for all terms but the final term. -
lenient boolean
If
true
, format-based errors, such as providing a text query value for a numeric field, are ignored. -
max_expansions number
Maximum number of terms to which the query will expand.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
operator string
Values are
and
,AND
,or
, orOR
. -
prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
Text, number, boolean value or date you wish to find in the provided field.
-
slop number
Maximum number of positions allowed between matching tokens.
-
tie_breaker number
Determines how scores for each per-term blended query and scores across groups are combined.
-
type string
Values are
best_fields
,most_fields
,cross_fields
,phrase
,phrase_prefix
, orbool_prefix
. -
zero_terms_query string
Values are
all
ornone
.
-
-
nested object
Hide nested attributes Show nested attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped path and not return any documents instead of an error.
-
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
-
name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
-
collapse object
Hide collapse attributes Show collapse attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
inner_hits object | array[object]
The number of inner hits and their sort order
-
The number of concurrent requests allowed to retrieve the inner_hits per group
-
collapse object
-
-
docvalue_fields array[object]
Hide docvalue_fields attributes Show docvalue_fields attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
format string
Format in which the values are returned.
-
include_unmapped boolean
-
-
explain boolean
-
highlight object
Hide highlight attributes Show highlight attributes object
-
boundary_chars string
A string that contains each boundary character.
-
boundary_max_scan number
How far to scan for boundary characters.
-
boundary_scanner string
Values are
chars
,sentence
, orword
. -
boundary_scanner_locale string
Controls which locale is used to search for sentence and word boundaries. This parameter takes a form of a language tag, for example:
"en-US"
,"fr-FR"
,"ja-JP"
. -
fragmenter string
Values are
simple
orspan
. -
fragment_size number
The size of the highlighted fragment in characters.
-
highlight_filter boolean
-
highlight_query object
-
max_fragment_length number
-
max_analyzed_offset number
If set to a non-negative value, highlighting stops at this defined maximum limit. The rest of the text is not processed, thus not highlighted and no error is returned The
max_analyzed_offset
query setting does not override theindex.highlight.max_analyzed_offset
setting, which prevails when it’s set to lower value than the query setting. -
no_match_size number
The amount of text you want to return from the beginning of the field if there are no matching fragments to highlight.
-
number_of_fragments number
The maximum number of fragments to return. If the number of fragments is set to
0
, no fragments are returned. Instead, the entire field contents are highlighted and returned. This can be handy when you need to highlight short texts such as a title or address, but fragmentation is not required. Ifnumber_of_fragments
is0
,fragment_size
is ignored. -
options object
-
order string
Value is
score
. -
phrase_limit number
Controls the number of matching phrases in a document that are considered. Prevents the
fvh
highlighter from analyzing too many phrases and consuming too much memory. When usingmatched_fields
,phrase_limit
phrases per matched field are considered. Raising the limit increases query time and consumes more memory. Only supported by thefvh
highlighter. -
post_tags array[string]
Use in conjunction with
pre_tags
to define the HTML tags to use for the highlighted text. By default, highlighted text is wrapped in<em>
and</em>
tags. -
pre_tags array[string]
Use in conjunction with
post_tags
to define the HTML tags to use for the highlighted text. By default, highlighted text is wrapped in<em>
and</em>
tags. -
require_field_match boolean
By default, only fields that contains a query match are highlighted. Set to
false
to highlight all fields. -
tags_schema string
Value is
styled
. -
encoder string
Values are
default
orhtml
.
-
ignore_unmapped boolean
-
script_fields object
Hide script_fields attributes Show script_fields attributes object
-
ignore_failure boolean
-
seq_no_primary_term boolean
-
fields string | array[string]
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
score_mode string
Values are
none
,avg
,sum
,max
, ormin
.
-
-
parent_id object
Hide parent_id attributes Show parent_id attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
id string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
type
and not return any documents instead of an error. -
type string
-
-
percolate object
Hide percolate attributes Show percolate attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
document object
The source of the document being percolated.
-
documents array[object]
An array of sources of the documents being percolated.
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
id string
-
index string
-
name string
The suffix used for the
_percolator_document_slot
field when multiplepercolate
queries are specified. -
preference string
Preference used to fetch document to percolate.
-
routing string
-
version number
-
-
pinned object
Hide pinned attributes Show pinned attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ids array[string]
Document IDs listed in the order they are to appear in results. Required if
docs
is not specified. -
docs array[object]
Documents listed in the order they are to appear in results. Required if
ids
is not specified.
-
-
prefix object
Returns documents that contain a specific prefix in a provided field.
-
query_string object
Hide query_string attributes Show query_string attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
allow_leading_wildcard boolean
If
true
, the wildcard characters*
and?
are allowed as the first character of the query string. -
analyzer string
Analyzer used to convert text in the query string into tokens.
-
analyze_wildcard boolean
If
true
, the query attempts to analyze wildcard terms in the query string. -
If
true
, match phrase queries are automatically created for multi-term synonyms. -
default_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
default_operator string
Values are
and
,AND
,or
, orOR
. -
enable_position_increments boolean
If
true
, enable position increments in queries constructed from aquery_string
search. -
escape boolean
-
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
fuzziness string | number
-
fuzzy_max_expansions number
Maximum number of terms to which the query expands for fuzzy matching.
-
fuzzy_prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
fuzzy_rewrite string
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). -
lenient boolean
If
true
, format-based errors, such as providing a text value for a numeric field, are ignored. -
max_determinized_states number
Maximum number of automaton states required for the query.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
phrase_slop number
Maximum number of positions allowed between matching tokens for phrases.
-
Query string you wish to parse and use for search.
-
quote_analyzer string
Analyzer used to convert quoted text in the query string into tokens. For quoted text, this parameter overrides the analyzer specified in the
analyzer
parameter. -
quote_field_suffix string
Suffix appended to quoted text in the query string. You can use this suffix to use a different analysis method for exact matches.
-
rewrite string
-
tie_breaker number
How to combine the queries generated from the individual search terms in the resulting
dis_max
query. -
time_zone string
-
type string
Values are
best_fields
,most_fields
,cross_fields
,phrase
,phrase_prefix
, orbool_prefix
.
-
-
range object
Returns documents that contain terms within a provided range.
-
rank_feature object
Hide rank_feature attributes Show rank_feature attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
saturation object
Hide saturation attribute Show saturation attribute object
-
pivot number
Configurable pivot value so that the result will be less than 0.5.
-
-
log object
Hide log attribute Show log attribute object
-
Configurable scaling factor.
-
-
linear object
-
sigmoid object
-
-
regexp object
Returns documents that contain terms matching a regular expression.
-
rule object
Hide rule attributes Show rule attributes object
-
script object
Hide script attributes Show script attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Hide script attributes Show script attributes object
-
source string
The script source.
-
id string
-
params object
Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.
Hide params attributes Show params attributes object
-
key object
-
options object
Hide options attributes Show options attributes object
-
key string
-
-
-
script_score object
Hide script_score attributes Show script_score attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
min_score number
Documents with a score lower than this floating point number are excluded from the search results.
-
Hide script attributes Show script attributes object
-
source string
The script source.
-
id string
-
params object
Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.
Hide params attributes Show params attributes object
-
key object
-
options object
Hide options attributes Show options attributes object
-
key string
-
-
-
semantic object
Hide semantic attributes Show semantic attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
The field to query, which must be a semantic_text field type
-
The query text
-
-
shape object
Hide shape attributes Show shape attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
When set to
true
the query ignores an unmapped field and will not match any documents.
-
-
simple_query_string object
Hide simple_query_string attributes Show simple_query_string attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
Analyzer used to convert text in the query string into tokens.
-
analyze_wildcard boolean
If
true
, the query attempts to analyze wildcard terms in the query string. -
If
true
, the parser creates a match_phrase query for each multi-position token. -
default_operator string
Values are
and
,AND
,or
, orOR
. -
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
flags string
Query flags can be either a single flag or a combination of flags, e.g.
OR|AND|PREFIX
One of: Query flags can be either a single flag or a combination of flags, e.g.
OR|AND|PREFIX
Values are
NONE
,AND
,NOT
,OR
,PREFIX
,PHRASE
,PRECEDENCE
,ESCAPE
,WHITESPACE
,FUZZY
,NEAR
,SLOP
, orALL
.Query flags can be either a single flag or a combination of flags, e.g.
OR|AND|PREFIX
-
fuzzy_max_expansions number
Maximum number of terms to which the query expands for fuzzy matching.
-
fuzzy_prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). -
lenient boolean
If
true
, format-based errors, such as providing a text value for a numeric field, are ignored. minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
Query string in the simple query string syntax you wish to parse and use for search.
-
quote_field_suffix string
Suffix appended to quoted text in the query string.
-
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Hide big attributes Show big attributes object
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
Hide span_within attributes Show span_within attributes object
-
Hide little attributes Show little attributes object
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
Hide span_within attributes Show span_within attributes object
-
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
Hide query attributes Show query attributes object
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
Hide span_within attributes Show span_within attributes object
-
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
Hide match attributes Show match attributes object
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
Hide span_within attributes Show span_within attributes object
-
-
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
Hide clauses attributes Show clauses attributes object
-
span_containing object
-
span_field_masking object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_not object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
-
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
Hide exclude attributes Show exclude attributes object
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
Hide span_within attributes Show span_within attributes object
-
-
Hide include attributes Show include attributes object
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
Hide span_within attributes Show span_within attributes object
-
-
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
Hide clauses attributes Show clauses attributes object
-
span_containing object
-
span_field_masking object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_not object
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
-
-
-
span_term object
Matches spans containing a term.
-
span_within object
Hide span_within attributes Show span_within attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Hide big attributes Show big attributes object
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
The equivalent of the
term
query but for use with other span queries.
-
-
Hide little attributes Show little attributes object
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
The equivalent of the
term
query but for use with other span queries.
-
-
-
sparse_vector object
Hide sparse_vector attributes Show sparse_vector attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
query string
The query text you want to use for search. If inference_id is specified, query must also be specified.
-
prune boolean
Whether to perform pruning, omitting the non-significant tokens from the query to improve query performance. If prune is true but the pruning_config is not specified, pruning will occur but default values will be used. Default: false
-
pruning_config object
Hide pruning_config attributes Show pruning_config attributes object
-
tokens_freq_ratio_threshold number
Tokens whose frequency is more than this threshold times the average frequency of all tokens in the specified field are considered outliers and pruned.
-
tokens_weight_threshold number
Tokens whose weight is less than this threshold are considered nonsignificant and pruned.
-
only_score_pruned_tokens boolean
Whether to only score pruned tokens, vs only scoring kept tokens.
-
-
query_vector object
Dictionary of precomputed sparse vectors and their associated weights. Only one of inference_id or query_vector may be supplied in a request.
Hide query_vector attributes Show query_vector attributes object
-
key number
-
inference_id string
-
-
term object
Returns documents that contain an exact term in a provided field. To return a document, the query term must exactly match the queried field's value, including whitespace and capitalization.
-
terms object
Hide terms attributes Show terms attributes object
-
terms_set object
Returns documents that contain a minimum number of exact terms in a provided field. To return a document, a required number of terms must exactly match the field values, including whitespace and capitalization.
-
Uses a natural language processing model to convert the query text into a list of token-weight pairs which are then used in a query against a sparse vector or rank features field.
-
Supports returning text_expansion query results by sending in precomputed tokens with the query.
-
wildcard object
Returns documents that contain terms matching a wildcard pattern.
-
wrapper object
Hide wrapper attributes Show wrapper attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
A base64 encoded query. The binary data format can be any of JSON, YAML, CBOR or SMILE encodings
-
-
type object
Hide type attributes Show type attributes object
-
Responses
-
200 application/json
Hide response attributes Show response attributes object
-
classification object
Hide classification attributes Show classification attributes object
-
auc_roc object
-
accuracy object
Hide accuracy attributes Show accuracy attributes object
-
Hide classes attributes Show classes attributes object
-
-
multiclass_confusion_matrix object
Hide multiclass_confusion_matrix attributes Show multiclass_confusion_matrix attributes object
-
Hide confusion_matrix attributes Show confusion_matrix attributes object
-
-
precision object
Hide precision attributes Show precision attributes object
-
Hide classes attributes Show classes attributes object
-
-
recall object
Hide recall attributes Show recall attributes object
-
Hide classes attributes Show classes attributes object
-
-
-
outlier_detection object
Hide outlier_detection attributes Show outlier_detection attributes object
-
auc_roc object
-
precision object
Set the different thresholds of the outlier score at where the metric is calculated.
Hide precision attributes Show precision attributes object
-
key number
-
recall object
Set the different thresholds of the outlier score at where the metric is calculated.
Hide recall attributes Show recall attributes object
-
key number
-
confusion_matrix object
Hide confusion_matrix attributes Show confusion_matrix attributes object
-
True Positive
-
False Positive
-
True Negative
-
False Negative
-
-
regression object
Hide regression attributes Show regression attributes object
-
curl \
-X POST http://api.example.com/_ml/data_frame/_evaluate \
-H "Content-Type: application/json" \
-d '{"evaluation":{"classification":{"actual_field":"string","predicted_field":"string","top_classes_field":"string","":{"auc_roc":{"class_name":"string","include_curve":true},"precision":{"key":{}},"recall":{"key":{}},"accuracy":{"key":{}},"multiclass_confusion_matrix":{"key":{}}}},"outlier_detection":{"actual_field":"string","predicted_probability_field":"string","":{"auc_roc":{"class_name":"string","include_curve":true},"precision":{"key":{}},"recall":{"key":{}},"confusion_matrix":{"key":{}}}},"regression":{"actual_field":"string","predicted_field":"string","metrics":{"mse":{"key":{}},"msle":{"offset":42.0},"huber":{"delta":42.0},"r_squared":{"key":{}}}}},"index":"string","query":{"":{"boost":42.0,"_name":"string","value":"string"},"common":{},"fuzzy":{},"intervals":{},"match":{},"match_bool_prefix":{},"match_phrase":{},"match_phrase_prefix":{},"prefix":{},"range":{},"regexp":{},"span_term":{},"term":{},"terms_set":{},"text_expansion":{},"weighted_tokens":{},"wildcard":{}}}'