Get data frame analytics jobs usage info Added in 7.3.0
Path parameters
-
Identifier for the data frame analytics job. If you do not specify this option, the API returns information for the first hundred data frame analytics jobs.
Query parameters
-
allow_no_match boolean
Specifies what to do when the request:
- Contains wildcard expressions and there are no data frame analytics jobs that match.
- Contains the
_all
string or no identifiers and there are no matches. - Contains wildcard expressions and there are only partial matches.
The default value returns an empty data_frame_analytics array when there are no matches and the subset of results when there are partial matches. If this parameter is
false
, the request returns a 404 status code when there are no matches or only partial matches. -
from number
Skips the specified number of data frame analytics jobs.
-
size number
Specifies the maximum number of data frame analytics jobs to obtain.
-
verbose boolean
Defines whether the stats response should be verbose.
GET /_ml/data_frame/analytics/{id}/_stats
curl \
-X GET http://api.example.com/_ml/data_frame/analytics/{id}/_stats
Response examples (200)
{
"count": 42.0,
"data_frame_analytics": [
{
"analysis_stats": {
"classification_stats": {
"hyperparameters": {
"alpha": 42.0,
"lambda": 42.0,
"gamma": 42.0,
"eta": 42.0,
"eta_growth_rate_per_tree": 42.0,
"feature_bag_fraction": 42.0,
"downsample_factor": 42.0,
"max_attempts_to_add_tree": 42.0,
"max_optimization_rounds_per_hyperparameter": 42.0,
"max_trees": 42.0,
"num_folds": 42.0,
"num_splits_per_feature": 42.0,
"soft_tree_depth_limit": 42.0,
"soft_tree_depth_tolerance": 42.0
},
"iteration": 42.0,
"": 42.0,
"timing_stats": {},
"validation_loss": {
"fold_values": [
"string"
],
"loss_type": "string"
}
},
"outlier_detection_stats": {
"parameters": {
"compute_feature_influence": true,
"feature_influence_threshold": 42.0,
"method": "string",
"n_neighbors": 42.0,
"outlier_fraction": 42.0,
"standardization_enabled": true
},
"": 42.0,
"timing_stats": {}
},
"regression_stats": {
"hyperparameters": {
"alpha": 42.0,
"lambda": 42.0,
"gamma": 42.0,
"eta": 42.0,
"eta_growth_rate_per_tree": 42.0,
"feature_bag_fraction": 42.0,
"downsample_factor": 42.0,
"max_attempts_to_add_tree": 42.0,
"max_optimization_rounds_per_hyperparameter": 42.0,
"max_trees": 42.0,
"num_folds": 42.0,
"num_splits_per_feature": 42.0,
"soft_tree_depth_limit": 42.0,
"soft_tree_depth_tolerance": 42.0
},
"iteration": 42.0,
"": 42.0,
"timing_stats": {},
"validation_loss": {
"fold_values": [
"string"
],
"loss_type": "string"
}
}
},
"assignment_explanation": "string",
"data_counts": {
"skipped_docs_count": 42.0,
"test_docs_count": 42.0,
"training_docs_count": 42.0
},
"id": "string",
"memory_usage": {
"memory_reestimate_bytes": 42.0,
"peak_usage_bytes": 42.0,
"status": "string",
"": 42.0
},
"node": {
"attributes": {
"additionalProperty1": "string",
"additionalProperty2": "string"
},
"ephemeral_id": "string",
"id": "string",
"name": "string",
"transport_address": "string"
},
"progress": [
{
"phase": "string",
"progress_percent": 42.0
}
],
"state": "started"
}
]
}