All integrations

BigML

DEVELOPER · DEVELOPER

Datasets, models, and predictions built under that account’s own key.

Connecting BigML in practice

BigML authenticates by "appending your username and BigML API Key to the query string of every request", so a full-account credential travels in the URL on every call and lands in access logs and referrers by design. Narrowing it is a web-interface-only operation — an alternative key with per-resource, per-operation grants cannot be created through the API — and the published ceiling of 1,000,000 requests per key per hour is never the real one, because the subscription is, and it surfaces as a 402.

Scopes that draw scrutiny

  • username and api_key query-string parameters BigML’s documented request form is {base_url}/source?username=...&api_key=..., so the credential is in the URL rather than a header on every single request. There is no documented header alternative.
  • Alternative key The only documented way to narrow access, and it is not automatable: "To create an alternative key you need to use BigML’s web interface. There you can define what resources an alternative key can access and what operations (i.e., create, list, retrieve, update or delete) are allowed with it."
  • administrator One of BigML’s four organization membership types. "An administrator has the full access to all projects and resources in the organization, and can manage the users and their membership", and BigML notes a user with several roles keeps only the highest.

Rate limits

  • "BigML.io is currently limited to 1,000,000 (one million) requests per API key per hour."
  • The binding limit is the plan rather than the rate: a 402 means "Your subscription plan does not allow to perform this action because it has exceeded your subscription limit. Please wait until your running tasks complete or upgrade your plan."
  • Plan ceilings have their own error codes: -1107 Too many projects, -1108 Too many tasks, -1109 Subscription required.
  • Listing is capped at 200: "limit | Integer, default is 20 | Specifies the number of resources to retrieve. Must be less than or equal to 200."

Worth knowing

  • Organization mode changes the wire protocol, not just the permissions: every organization request needs project=project/<id> in the query string, and BigML warns that "even if project is defined in the HTTP POST body, it will simply be ignored in favor of the project property in the query string". The same code does not work unchanged against a personal account.
  • Moving data into an organization is one-way: "once personal resource is moved under a organization project, it cannot be moved back to the personal account".
  • Omitting the API version silently pins you to the newest one: "If you omit the version name in your API requests, you will always get access to the latest API version", and "it is possible that a future API release could cause your application to fail". The current version is named andromeda.
  • A shared WhizzML script or library can only be changed by whoever made it: when public_in_organization is true, "only the creator of the resource or administrators can update or delete the resource".

Checked against BigML authentication (2026-09-29), BigML API overview (2026-09-29), BigML organizations (2026-09-29), BigML status codes (2026-09-29)

Acts as the person, not as itself

Each user connects their own account. Every call carries both identities — the agent and the person it is acting for — so the agent can never reach past what that individual can already do.

Credentials never touch the agent

Tokens live in the vault and attach server-side at call time. The agent holds a session, not a secret, and revoking access does not mean rotating a key.

Every call on the record

Who asked, which agent acted, which action ran, and the verdict that let it through — one audit trail across every integration, not one per vendor.

What an agent can do

Each action is granted on its own. An agent allowed to read is not thereby allowed to write, and the scope beside each row is what the acting user must have connected for it to run at all.

bigml_delete_anomaly_by_idWRITE

Anomaly detector delete via DELETE /anomaly/{id}

api
bigml_delete_anomalyscore_by_idWRITE

Anomaly score delete via DELETE /anomalyscore/{id}

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bigml_delete_association_by_idWRITE

Association delete via DELETE /association/{id}

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bigml_delete_associationset_by_idWRITE

Association set delete via DELETE /associationset/{id}

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bigml_delete_batchanomalyscore_by_idWRITE

Batch anomaly score delete via DELETE /batchanomalyscore/{id}

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bigml_delete_batchcentroid_by_idWRITE

Batch centroid delete via DELETE /batchcentroid/{id}

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bigml_delete_batchprediction_by_idWRITE

Batch prediction delete via DELETE /batchprediction/{id}

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bigml_delete_batchprojection_by_idWRITE

Batch projection delete via DELETE /batchprojection/{id}

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bigml_delete_batchtopicdistribution_by_idWRITE

Batch topic distribution delete via DELETE /batchtopicdistribution/{id}

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bigml_delete_centroid_by_idWRITE

Centroid delete via DELETE /centroid/{id}

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bigml_delete_cluster_by_idWRITE

Cluster delete via DELETE /cluster/{id}

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bigml_delete_composite_by_idWRITE

Composite source delete via DELETE /composite/{id}

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bigml_delete_configuration_by_idWRITE

Configuration delete via DELETE /configuration/{id}

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bigml_delete_correlation_by_idWRITE

Correlation delete via DELETE /correlation/{id}

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bigml_delete_dataset_by_idWRITE

Dataset delete via DELETE /dataset/{id}

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bigml_delete_deepnet_by_idWRITE

Deepnet delete via DELETE /deepnet/{id}

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bigml_delete_ensemble_by_idWRITE

Ensemble delete via DELETE /ensemble/{id}

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bigml_delete_evaluation_by_idWRITE

Evaluation delete via DELETE /evaluation/{id}

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bigml_delete_execution_by_idWRITE

WhizzML execution delete via DELETE /execution/{id}

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bigml_delete_externalconnector_by_idWRITE

External connector delete via DELETE /externalconnector/{id}

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bigml_delete_forecast_by_idWRITE

Forecast delete via DELETE /forecast/{id}

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bigml_delete_fusion_by_idWRITE

Fusion delete via DELETE /fusion/{id}

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bigml_delete_library_by_idWRITE

WhizzML library delete via DELETE /library/{id}

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bigml_delete_linearregression_by_idWRITE

Linear regression delete via DELETE /linearregression/{id}

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bigml_delete_logisticregression_by_idWRITE

Logistic regression delete via DELETE /logisticregression/{id}

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bigml_delete_model_by_idWRITE

Model delete via DELETE /model/{id}

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bigml_delete_optiml_by_idWRITE

OptiML delete via DELETE /optiml/{id}

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bigml_delete_pca_by_idWRITE

PCA delete via DELETE /pca/{id}

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bigml_delete_prediction_by_idWRITE

Prediction delete via DELETE /prediction/{id}

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bigml_delete_project_by_idWRITE

Project delete via DELETE /project/{id}

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bigml_delete_projection_by_idWRITE

Projection delete via DELETE /projection/{id}

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bigml_delete_sample_by_idWRITE

Sample delete via DELETE /sample/{id}

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bigml_delete_script_by_idWRITE

WhizzML script delete via DELETE /script/{id}

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bigml_delete_source_by_idWRITE

Source delete via DELETE /source/{id}

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bigml_delete_statisticaltest_by_idWRITE

Statistical test delete via DELETE /statisticaltest/{id}

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bigml_delete_timeseries_by_idWRITE

Time series delete via DELETE /timeseries/{id}

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bigml_delete_topicdistribution_by_idWRITE

Topic distribution delete via DELETE /topicdistribution/{id}

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bigml_delete_topicmodel_by_idWRITE

Topic model delete via DELETE /topicmodel/{id}

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bigml_get_anomalyREAD

Anomaly detector list via GET /anomaly

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bigml_get_anomaly_by_idREAD

Anomaly detector get via GET /anomaly/{id}

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bigml_get_anomalyscoreREAD

Anomaly score list via GET /anomalyscore

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bigml_get_anomalyscore_by_idREAD

Anomaly score get via GET /anomalyscore/{id}

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bigml_get_associationREAD

Association list via GET /association

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bigml_get_association_by_idREAD

Association get via GET /association/{id}

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bigml_get_associationsetREAD

Association set list via GET /associationset

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bigml_get_associationset_by_idREAD

Association set get via GET /associationset/{id}

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bigml_get_batchanomalyscoreREAD

Batch anomaly score list via GET /batchanomalyscore

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bigml_get_batchanomalyscore_by_idREAD

Batch anomaly score get via GET /batchanomalyscore/{id}

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bigml_get_batchcentroidREAD

Batch centroid list via GET /batchcentroid

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bigml_get_batchcentroid_by_idREAD

Batch centroid get via GET /batchcentroid/{id}

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bigml_get_batchpredictionREAD

Batch prediction list via GET /batchprediction

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bigml_get_batchprediction_by_idREAD

Batch prediction get via GET /batchprediction/{id}

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bigml_get_batchprojectionREAD

Batch projection list via GET /batchprojection

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bigml_get_batchprojection_by_idREAD

Batch projection get via GET /batchprojection/{id}

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bigml_get_batchtopicdistributionREAD

Batch topic distribution list via GET /batchtopicdistribution

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bigml_get_batchtopicdistribution_by_idREAD

Batch topic distribution get via GET /batchtopicdistribution/{id}

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bigml_get_centroidREAD

Centroid list via GET /centroid

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bigml_get_centroid_by_idREAD

Centroid get via GET /centroid/{id}

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bigml_get_clusterREAD

Cluster list via GET /cluster

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bigml_get_cluster_by_idREAD

Cluster get via GET /cluster/{id}

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bigml_get_compositeREAD

Composite source list via GET /composite

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bigml_get_composite_by_idREAD

Composite source get via GET /composite/{id}

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bigml_get_configurationREAD

Configuration list via GET /configuration

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bigml_get_configuration_by_idREAD

Configuration get via GET /configuration/{id}

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bigml_get_correlationREAD

Correlation list via GET /correlation

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bigml_get_correlation_by_idREAD

Correlation get via GET /correlation/{id}

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bigml_get_datasetREAD

Dataset list via GET /dataset

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bigml_get_dataset_by_idREAD

Dataset get via GET /dataset/{id}

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bigml_get_deepnetREAD

Deepnet list via GET /deepnet

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bigml_get_deepnet_by_idREAD

Deepnet get via GET /deepnet/{id}

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bigml_get_ensembleREAD

Ensemble list via GET /ensemble

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bigml_get_ensemble_by_idREAD

Ensemble get via GET /ensemble/{id}

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bigml_get_evaluationREAD

Evaluation list via GET /evaluation

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bigml_get_evaluation_by_idREAD

Evaluation get via GET /evaluation/{id}

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bigml_get_executionREAD

WhizzML execution list via GET /execution

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bigml_get_execution_by_idREAD

WhizzML execution get via GET /execution/{id}

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bigml_get_externalconnectorREAD

External connector list via GET /externalconnector

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bigml_get_externalconnector_by_idREAD

External connector get via GET /externalconnector/{id}

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bigml_get_forecastREAD

Forecast list via GET /forecast

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bigml_get_forecast_by_idREAD

Forecast get via GET /forecast/{id}

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bigml_get_fusionREAD

Fusion list via GET /fusion

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bigml_get_fusion_by_idREAD

Fusion get via GET /fusion/{id}

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bigml_get_libraryREAD

WhizzML library list via GET /library

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bigml_get_library_by_idREAD

WhizzML library get via GET /library/{id}

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bigml_get_linearregressionREAD

Linear regression list via GET /linearregression

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bigml_get_linearregression_by_idREAD

Linear regression get via GET /linearregression/{id}

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bigml_get_logisticregressionREAD

Logistic regression list via GET /logisticregression

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bigml_get_logisticregression_by_idREAD

Logistic regression get via GET /logisticregression/{id}

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bigml_get_modelREAD

Model list via GET /model

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bigml_get_model_by_idREAD

Model get via GET /model/{id}

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bigml_get_optimlREAD

OptiML list via GET /optiml

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bigml_get_optiml_by_idREAD

OptiML get via GET /optiml/{id}

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bigml_get_pcaREAD

PCA list via GET /pca

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bigml_get_pca_by_idREAD

PCA get via GET /pca/{id}

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bigml_get_predictionREAD

Prediction list via GET /prediction

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bigml_get_prediction_by_idREAD

Prediction get via GET /prediction/{id}

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bigml_get_projectREAD

Project list via GET /project

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bigml_get_project_by_idREAD

Project get via GET /project/{id}

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bigml_get_projectionREAD

Projection list via GET /projection

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bigml_get_projection_by_idREAD

Projection get via GET /projection/{id}

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bigml_get_sampleREAD

Sample list via GET /sample

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bigml_get_sample_by_idREAD

Sample get via GET /sample/{id}

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bigml_get_scriptREAD

WhizzML script list via GET /script

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bigml_get_script_by_idREAD

WhizzML script get via GET /script/{id}

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bigml_get_sourceREAD

Source list via GET /source

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bigml_get_source_by_idREAD

Source get via GET /source/{id}

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bigml_get_statisticaltestREAD

Statistical test list via GET /statisticaltest

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bigml_get_statisticaltest_by_idREAD

Statistical test get via GET /statisticaltest/{id}

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bigml_get_timeseriesREAD

Time series list via GET /timeseries

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bigml_get_timeseries_by_idREAD

Time series get via GET /timeseries/{id}

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bigml_get_topicdistributionREAD

Topic distribution list via GET /topicdistribution

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bigml_get_topicdistribution_by_idREAD

Topic distribution get via GET /topicdistribution/{id}

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bigml_get_topicmodelREAD

Topic model list via GET /topicmodel

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bigml_get_topicmodel_by_idREAD

Topic model get via GET /topicmodel/{id}

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bigml_post_anomalyWRITE

Anomaly detector create via POST /anomaly

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bigml_post_anomalyscoreWRITE

Anomaly score create via POST /anomalyscore

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bigml_post_associationWRITE

Association create via POST /association

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bigml_post_associationsetWRITE

Association set create via POST /associationset

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bigml_post_batchanomalyscoreWRITE

Batch anomaly score create via POST /batchanomalyscore

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bigml_post_batchcentroidWRITE

Batch centroid create via POST /batchcentroid

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bigml_post_batchpredictionWRITE

Batch prediction create via POST /batchprediction

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bigml_post_batchprojectionWRITE

Batch projection create via POST /batchprojection

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bigml_post_batchtopicdistributionWRITE

Batch topic distribution create via POST /batchtopicdistribution

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bigml_post_centroidWRITE

Centroid create via POST /centroid

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bigml_post_clusterWRITE

Cluster create via POST /cluster

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bigml_post_compositeWRITE

Composite source create via POST /composite

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bigml_post_configurationWRITE

Configuration create via POST /configuration

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bigml_post_correlationWRITE

Correlation create via POST /correlation

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bigml_post_datasetWRITE

Dataset create via POST /dataset

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bigml_post_deepnetWRITE

Deepnet create via POST /deepnet

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bigml_post_ensembleWRITE

Ensemble create via POST /ensemble

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bigml_post_evaluationWRITE

Evaluation create via POST /evaluation

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bigml_post_executionWRITE

WhizzML execution create via POST /execution

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bigml_post_externalconnectorWRITE

External connector create via POST /externalconnector

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bigml_post_forecastWRITE

Forecast create via POST /forecast

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bigml_post_fusionWRITE

Fusion create via POST /fusion

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bigml_post_libraryWRITE

WhizzML library create via POST /library

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bigml_post_linearregressionWRITE

Linear regression create via POST /linearregression

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bigml_post_logisticregressionWRITE

Logistic regression create via POST /logisticregression

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bigml_post_modelWRITE

Model create via POST /model

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bigml_post_optimlWRITE

OptiML create via POST /optiml

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bigml_post_pcaWRITE

PCA create via POST /pca

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bigml_post_predictionWRITE

Prediction create via POST /prediction

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bigml_post_projectWRITE

Project create via POST /project

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bigml_post_projectionWRITE

Projection create via POST /projection

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bigml_post_sampleWRITE

Sample create via POST /sample

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bigml_post_scriptWRITE

WhizzML script create via POST /script

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bigml_post_sourceWRITE

Source create via POST /source

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bigml_post_statisticaltestWRITE

Statistical test create via POST /statisticaltest

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bigml_post_timeseriesWRITE

Time series create via POST /timeseries

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bigml_post_topicdistributionWRITE

Topic distribution create via POST /topicdistribution

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bigml_post_topicmodelWRITE

Topic model create via POST /topicmodel

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bigml_put_anomaly_by_idWRITE

Anomaly detector update via PUT /anomaly/{id}

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bigml_put_anomalyscore_by_idWRITE

Anomaly score update via PUT /anomalyscore/{id}

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bigml_put_association_by_idWRITE

Association update via PUT /association/{id}

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bigml_put_associationset_by_idWRITE

Association set update via PUT /associationset/{id}

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bigml_put_batchanomalyscore_by_idWRITE

Batch anomaly score update via PUT /batchanomalyscore/{id}

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bigml_put_batchcentroid_by_idWRITE

Batch centroid update via PUT /batchcentroid/{id}

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bigml_put_batchprediction_by_idWRITE

Batch prediction update via PUT /batchprediction/{id}

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bigml_put_batchprojection_by_idWRITE

Batch projection update via PUT /batchprojection/{id}

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bigml_put_batchtopicdistribution_by_idWRITE

Batch topic distribution update via PUT /batchtopicdistribution/{id}

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bigml_put_centroid_by_idWRITE

Centroid update via PUT /centroid/{id}

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bigml_put_cluster_by_idWRITE

Cluster update via PUT /cluster/{id}

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bigml_put_composite_by_idWRITE

Composite source update via PUT /composite/{id}

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bigml_put_configuration_by_idWRITE

Configuration update via PUT /configuration/{id}

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bigml_put_correlation_by_idWRITE

Correlation update via PUT /correlation/{id}

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bigml_put_dataset_by_idWRITE

Dataset update via PUT /dataset/{id}

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bigml_put_deepnet_by_idWRITE

Deepnet update via PUT /deepnet/{id}

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bigml_put_ensemble_by_idWRITE

Ensemble update via PUT /ensemble/{id}

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bigml_put_evaluation_by_idWRITE

Evaluation update via PUT /evaluation/{id}

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bigml_put_execution_by_idWRITE

WhizzML execution update via PUT /execution/{id}

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bigml_put_externalconnector_by_idWRITE

External connector update via PUT /externalconnector/{id}

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bigml_put_forecast_by_idWRITE

Forecast update via PUT /forecast/{id}

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bigml_put_fusion_by_idWRITE

Fusion update via PUT /fusion/{id}

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bigml_put_library_by_idWRITE

WhizzML library update via PUT /library/{id}

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bigml_put_linearregression_by_idWRITE

Linear regression update via PUT /linearregression/{id}

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bigml_put_logisticregression_by_idWRITE

Logistic regression update via PUT /logisticregression/{id}

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bigml_put_model_by_idWRITE

Model update via PUT /model/{id}

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bigml_put_optiml_by_idWRITE

OptiML update via PUT /optiml/{id}

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bigml_put_pca_by_idWRITE

PCA update via PUT /pca/{id}

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bigml_put_prediction_by_idWRITE

Prediction update via PUT /prediction/{id}

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bigml_put_project_by_idWRITE

Project update via PUT /project/{id}

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bigml_put_projection_by_idWRITE

Projection update via PUT /projection/{id}

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bigml_put_sample_by_idWRITE

Sample update via PUT /sample/{id}

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bigml_put_script_by_idWRITE

WhizzML script update via PUT /script/{id}

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bigml_put_source_by_idWRITE

Source update via PUT /source/{id}

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bigml_put_statisticaltest_by_idWRITE

Statistical test update via PUT /statisticaltest/{id}

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bigml_put_timeseries_by_idWRITE

Time series update via PUT /timeseries/{id}

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bigml_put_topicdistribution_by_idWRITE

Topic distribution update via PUT /topicdistribution/{id}

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bigml_put_topicmodel_by_idWRITE

Topic model update via PUT /topicmodel/{id}

api

Put BigML behind one governed endpoint.

Same permissions, same audit trail, whatever else you connect next.