--- title: Update experiment analysis plan attributes description: Update selected statistical analysis settings. breadcrumbs: Documentación > API > Update experiment analysis plan attributes --- > For the complete documentation index, see [llms.txt](https://dnd37xeb23o8n.cloudfront.net/jen.gilbert/astro-base/llms.txt). # Update experiment analysis plan attributes {% callout %} This product or feature is not supported for the following sites: app.ddog-gov.com, us2.ddog-gov.com {% /callout %} ## v2 (latest) | Datadog site | API endpoint | | ----------------- | ------------------------------------------------------------------------------------ | | app.datadoghq.com | PATCH https://api.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | us3.datadoghq.com | PATCH https://api.us3.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | us5.datadoghq.com | PATCH https://api.us5.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | app.datadoghq.eu | PATCH https://api.datadoghq.eu/api/v2/experiments/{experiment_id}/analysis-plan | | ap1.datadoghq.com | PATCH https://api.ap1.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | ap2.datadoghq.com | PATCH https://api.ap2.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | uk1.datadoghq.com | PATCH https://api.uk1.datadoghq.com/api/v2/experiments/{experiment_id}/analysis-plan | | app.ddog-gov.com | PATCH https://api.ddog-gov.com/api/v2/experiments/{experiment_id}/analysis-plan | | us2.ddog-gov.com | PATCH https://api.us2.ddog-gov.com/api/v2/experiments/{experiment_id}/analysis-plan | ### Overview Update selected statistical analysis settings. Omitted attributes remain unchanged and nullable attributes can be cleared with null. Protocol-locked settings cannot be changed. This endpoint requires the `product_analytics_experiments_write` permission. OAuth apps require the `product_analytics_experiments_write` authorization [scope](https://dnd37xeb23o8n.cloudfront.net/jen.gilbert/astro-base/es/api/latest/scopes.md#experiments) to access this endpoint. ### Arguments #### Path Parameters | Field | Type | Description | | -------------------------- | ------ | --------------------------- | | experiment_id [*required*] | string | The UUID of the experiment. | ### Request #### Body Data (required) {% tabs %} {% tab label="Model" %} | Parent field | Field | Type | Description | | -------------- | --------------------------------------------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------------- | | | data [*required*] | object | Analysis plan resource to update. | | data | attributes | object | Statistical settings and duration targets to apply to the experiment. | | attributes | bayesian_prior | object | Parameters of the prior distribution to use for Bayesian analysis. | | bayesian_prior | degrees_of_freedom | double | Degrees of freedom of the prior distribution. | | bayesian_prior | standard_deviation [*required*] | double | Standard deviation of the prior distribution. | | attributes | confidence_interval_method | enum | Statistical method used to calculate the experiment results. Allowed enum values: `Sequential`, `FixedSample`, `Bayesian`, `SequentialFixedHybrid`. | | attributes | confidence_level | double | Confidence level used for statistical analysis, expressed as a fraction. | | attributes | cuped_lookback_period_days | int64 | Only a 30-day CUPED lookback is supported. | | attributes | experiment_auto_end_days | int64 | Number of days configured for the experiment to end automatically. | | attributes | experiment_min_duration | int64 | Minimum experiment duration in days configured in the analysis plan. | | attributes | experiment_min_sample_size | int64 | Minimum sample size configured in the analysis plan. | | attributes | is_cuped_enabled | boolean | Whether CUPED uses pre-experiment data to reduce variance in the analysis. | | attributes | is_multiple_testing_correction_enabled | boolean | Whether the analysis adjusts for testing multiple hypotheses. | | attributes | preferential_bonferroni_primary_metric_weight | double | Weight assigned to the primary metric in the preferential Bonferroni correction. | | attributes | target_duration_days | int64 | Planned experiment duration in days. | | data | id | uuid | Identifier of the experiment. If supplied, it must match experiment_id in the path. | | data | type [*required*] | enum | Analysis plans resource type. Allowed enum values: `analysis-plans`. Default: `analysis-plans`. | {% /tab %} {% tab label="Example" %} ```json { "data": { "type": "analysis-plans", "id": "550e8400-e29b-41d4-a716-446655440000", "attributes": { "confidence_level": 0.9 } } } ``` {% /tab %} {% /tabs %} ### Response {% tabs %} {% tab label="200" %} OK {% tabs %} {% tab label="Model" %} Response containing the saved analysis plan and result refresh information. | Parent field | Field | Type | Description | | -------------- | --------------------------------------------- | -------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | | data [*required*] | object | Analysis plan resource with its identifier and settings. | | data | attributes | object | Statistical settings and duration targets in the saved analysis plan. | | attributes | bayesian_prior | object | Parameters of the prior distribution used for Bayesian analysis. | | bayesian_prior | degrees_of_freedom | double | Degrees of freedom of the prior distribution. | | bayesian_prior | standard_deviation | double | Standard deviation of the prior distribution. | | attributes | confidence_interval_method | enum | Statistical method used to calculate the experiment results. Allowed enum values: `Sequential`, `FixedSample`, `Bayesian`, `SequentialFixedHybrid`. | | attributes | confidence_level | double | Confidence level used for statistical analysis, expressed as a fraction. | | attributes | cuped_lookback_period_days | int64 | Number of days of pre-experiment data used for CUPED variance reduction. | | attributes | experiment_auto_end_days | int64 | Number of days configured for the experiment to end automatically. | | attributes | experiment_min_duration | int64 | Minimum experiment duration in days configured in the analysis plan. | | attributes | experiment_min_sample_size | int64 | Minimum sample size configured in the analysis plan. | | attributes | has_custom_analysis_settings | boolean | Whether the experiment has custom analysis settings. | | attributes | is_cuped_enabled | boolean | Whether CUPED uses pre-experiment data to reduce variance in the analysis. | | attributes | is_multiple_testing_correction_enabled | boolean | Whether the analysis adjusts for testing multiple hypotheses. | | attributes | preferential_bonferroni_primary_metric_weight | double | Weight assigned to the primary metric in the preferential Bonferroni correction. | | attributes | target_duration_days | int64 | Planned experiment duration in days. | | data | id [*required*] | uuid | Identifier of the experiment whose analysis plan is returned. | | data | type [*required*] | enum | Analysis plans resource type. Allowed enum values: `analysis-plans`. Default: `analysis-plans`. | | | meta | object | Refresh requirements and warnings returned by an experiment update. | | meta | needs_pipeline_refresh [*required*] | boolean | Whether this edit needs a full or non-full pipeline run. This operation does not start the run. A later false value does not clear a refresh required by an earlier edit. | | meta | refresh_endpoint | string | POST to this endpoint after finishing your edits. The full_refresh query parameter selects the required run type. Across multiple edits any full_refresh=true requirement takes priority. | | meta | warnings | [object] | Warnings returned after the experiment update. | | warnings | code [*required*] | string | Code that identifies the warning. | | warnings | detail [*required*] | string | Explanation of the warning and its effect on the update. | {% /tab %} {% tab label="Example" %} ```json { "data": { "attributes": { "bayesian_prior": { "degrees_of_freedom": "number", "standard_deviation": "number" }, "confidence_interval_method": "Bayesian", "confidence_level": "number", "cuped_lookback_period_days": "integer", "experiment_auto_end_days": "integer", "experiment_min_duration": "integer", "experiment_min_sample_size": "integer", "has_custom_analysis_settings": false, "is_cuped_enabled": false, "is_multiple_testing_correction_enabled": false, "preferential_bonferroni_primary_metric_weight": "number", "target_duration_days": "integer" }, "id": "550e8400-e29b-41d4-a716-446655440000", "type": "analysis-plans" }, "meta": { "needs_pipeline_refresh": false, "refresh_endpoint": "string", "warnings": [ { "code": "code", "detail": "detail" } ] } } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="400" %} Bad Request {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="401" %} Unauthorized {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="403" %} Forbidden {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="404" %} Not Found {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="409" %} The requested change conflicts with settings locked by the experiment protocol. {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="415" %} Request body sent with a media type other than application/json or application/vnd.api+json. {% tabs %} {% tab label="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------- | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% tab label="429" %} Too many requests {% tabs %} {% tab label="Model" %} API error response. | Field | Type | Description | | ------------------- | -------- | ----------------- | | errors [*required*] | [string] | A list of errors. | {% /tab %} {% tab label="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tabs %} {% /tab %} {% /tabs %} ### Code Example {% tabs %} {% tab label="Curl" %} ```bash # Path parameters export experiment_id="550e8400-e29b-41d4-a716-446655440000" # Set your Datadog site and credentials export DD_SITE="datadoghq.com" # Or us3.datadoghq.com, us5.datadoghq.com, datadoghq.eu, ap1.datadoghq.com, ap2.datadoghq.com, uk1.datadoghq.com, ddog-gov.com, us2.ddog-gov.com # Use a Personal Access Token or Service Access Token export DD_BEARER_TOKEN="" curl -X PATCH "https://api.${DD_SITE}/api/v2/experiments/${experiment_id}/analysis-plan" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "Authorization: Bearer ${DD_BEARER_TOKEN}" \ -d @- << EOF { "data": { "type": "analysis-plans", "id": "550e8400-e29b-41d4-a716-446655440000", "attributes": { "confidence_level": 0.9 } } } EOF ``` {% /tab %} {% tab label="Go" %} ```go // Update experiment analysis plan attributes returns "OK" response package main import ( "context" "encoding/json" "fmt" "os" "github.com/DataDog/datadog-api-client-go/v2/api/datadog" "github.com/DataDog/datadog-api-client-go/v2/api/datadogV2" "github.com/google/uuid" ) func main() { // there is a valid "experiment" in the system ExperimentDataID := uuid.MustParse(os.Getenv("EXPERIMENT_DATA_ID")) body := datadogV2.ExperimentsAnalysisPlanWriteV2Request{ Data: datadogV2.ExperimentsAnalysisPlanWriteV2RequestData{ Type: datadogV2.EXPERIMENTSANALYSISPLANWRITEV2REQUESTDATATYPE_ANALYSIS_PLANS, Id: datadog.PtrUUID(ExperimentDataID), Attributes: &datadogV2.ExperimentsAnalysisPlanWriteV2RequestDataAttributes{ ConfidenceLevel: datadog.PtrFloat64(0.9), }, }, } ctx := datadog.NewDefaultContext(context.Background()) ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN")) configuration := datadog.NewConfiguration() apiClient := datadog.NewAPIClient(configuration) api := datadogV2.NewExperimentsApi(apiClient) resp, r, err := api.UpdateExperimentAnalysisPlanAttributes(ctx, ExperimentDataID, body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `ExperimentsApi.UpdateExperimentAnalysisPlanAttributes`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } responseContent, _ := json.MarshalIndent(resp, "", " ") fmt.Fprintf(os.Stdout, "Response from `ExperimentsApi.UpdateExperimentAnalysisPlanAttributes`:\n%s\n", responseContent) } ``` #### Instructions First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" go run "main.go" ``` {% /tab %} {% tab label="Java" %} ```java // Update experiment analysis plan attributes returns "OK" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v2.api.ExperimentsApi; import com.datadog.api.client.v2.model.ExperimentsAnalysisPlanV2MutationResponse; import com.datadog.api.client.v2.model.ExperimentsAnalysisPlanWriteV2Request; import com.datadog.api.client.v2.model.ExperimentsAnalysisPlanWriteV2RequestData; import com.datadog.api.client.v2.model.ExperimentsAnalysisPlanWriteV2RequestDataAttributes; import com.datadog.api.client.v2.model.ExperimentsAnalysisPlanWriteV2RequestDataType; import java.util.UUID; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN")); ExperimentsApi apiInstance = new ExperimentsApi(defaultClient); // there is a valid "experiment" in the system UUID EXPERIMENT_DATA_ID = null; try { EXPERIMENT_DATA_ID = UUID.fromString(System.getenv("EXPERIMENT_DATA_ID")); } catch (IllegalArgumentException e) { System.err.println("Error parsing UUID: " + e.getMessage()); } ExperimentsAnalysisPlanWriteV2Request body = new ExperimentsAnalysisPlanWriteV2Request() .data( new ExperimentsAnalysisPlanWriteV2RequestData() .type(ExperimentsAnalysisPlanWriteV2RequestDataType.ANALYSIS_PLANS) .id(EXPERIMENT_DATA_ID) .attributes( new ExperimentsAnalysisPlanWriteV2RequestDataAttributes() .confidenceLevel(0.9))); try { ExperimentsAnalysisPlanV2MutationResponse result = apiInstance.updateExperimentAnalysisPlanAttributes(EXPERIMENT_DATA_ID, body); System.out.println(result); } catch (ApiException e) { System.err.println( "Exception when calling ExperimentsApi#updateExperimentAnalysisPlanAttributes"); System.err.println("Status code: " + e.getCode()); System.err.println("Reason: " + e.getResponseBody()); System.err.println("Response headers: " + e.getResponseHeaders()); e.printStackTrace(); } } } ``` #### Instructions First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" java "Example.java" ``` {% /tab %} {% tab label="Python" %} ```python """ Update experiment analysis plan attributes returns "OK" response """ from os import environ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v2.api.experiments_api import ExperimentsApi from datadog_api_client.v2.model.experiments_analysis_plan_write_v2_request import ExperimentsAnalysisPlanWriteV2Request from datadog_api_client.v2.model.experiments_analysis_plan_write_v2_request_data import ( ExperimentsAnalysisPlanWriteV2RequestData, ) from datadog_api_client.v2.model.experiments_analysis_plan_write_v2_request_data_attributes import ( ExperimentsAnalysisPlanWriteV2RequestDataAttributes, ) from datadog_api_client.v2.model.experiments_analysis_plan_write_v2_request_data_type import ( ExperimentsAnalysisPlanWriteV2RequestDataType, ) # there is a valid "experiment" in the system EXPERIMENT_DATA_ID = environ["EXPERIMENT_DATA_ID"] body = ExperimentsAnalysisPlanWriteV2Request( data=ExperimentsAnalysisPlanWriteV2RequestData( type=ExperimentsAnalysisPlanWriteV2RequestDataType.ANALYSIS_PLANS, id=EXPERIMENT_DATA_ID, attributes=ExperimentsAnalysisPlanWriteV2RequestDataAttributes( confidence_level=0.9, ), ), ) configuration = Configuration() configuration.access_token = environ["DD_BEARER_TOKEN"] with ApiClient(configuration) as api_client: api_instance = ExperimentsApi(api_client) response = api_instance.update_experiment_analysis_plan_attributes(experiment_id=EXPERIMENT_DATA_ID, body=body) print(response) ``` #### Instructions First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" python3 "example.py" ``` {% /tab %} {% tab label="Ruby" %} ```ruby # Update experiment analysis plan attributes returns "OK" response require "datadog_api_client" DatadogAPIClient.configure do |config| config.access_token = ENV["DD_BEARER_TOKEN"] end api_instance = DatadogAPIClient::V2::ExperimentsAPI.new # there is a valid "experiment" in the system EXPERIMENT_DATA_ID = ENV["EXPERIMENT_DATA_ID"] body = DatadogAPIClient::V2::ExperimentsAnalysisPlanWriteV2Request.new({ data: DatadogAPIClient::V2::ExperimentsAnalysisPlanWriteV2RequestData.new({ type: DatadogAPIClient::V2::ExperimentsAnalysisPlanWriteV2RequestDataType::ANALYSIS_PLANS, id: EXPERIMENT_DATA_ID, attributes: DatadogAPIClient::V2::ExperimentsAnalysisPlanWriteV2RequestDataAttributes.new({ confidence_level: 0.9, }), }), }) p api_instance.update_experiment_analysis_plan_attributes(EXPERIMENT_DATA_ID, body) ``` #### Instructions First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands: ```bash DD_SITE="datadoghq.com" DD_BEARER_TOKEN="" rb "example.rb" ``` {% /tab %} {% tab label="Rust" %} ```rust // Update experiment analysis plan attributes returns "OK" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_experiments::ExperimentsAPI; use datadog_api_client::datadogV2::model::ExperimentsAnalysisPlanWriteV2Request; use datadog_api_client::datadogV2::model::ExperimentsAnalysisPlanWriteV2RequestData; use datadog_api_client::datadogV2::model::ExperimentsAnalysisPlanWriteV2RequestDataAttributes; use datadog_api_client::datadogV2::model::ExperimentsAnalysisPlanWriteV2RequestDataType; #[tokio::main] async fn main() { // there is a valid "experiment" in the system let experiment_data_id = uuid::Uuid::parse_str(&std::env::var("EXPERIMENT_DATA_ID").unwrap()).expect("Invalid UUID"); let body = ExperimentsAnalysisPlanWriteV2Request::new( ExperimentsAnalysisPlanWriteV2RequestData::new( ExperimentsAnalysisPlanWriteV2RequestDataType::ANALYSIS_PLANS, ) .attributes( ExperimentsAnalysisPlanWriteV2RequestDataAttributes::new().confidence_level(0.9 as f64), ) .id(experiment_data_id.clone()), ); let configuration = datadog::Configuration::new(); let api = ExperimentsAPI::with_config(configuration); let resp = api .update_experiment_analysis_plan_attributes(experiment_data_id.clone(), body) .await; if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } ``` #### Instructions First [install the library and its dependencies](https://dnd37xeb23o8n.cloudfront.net/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands: ```bash DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" cargo run ``` {% /tab %} {% /tabs %}