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DataRobot Tools

Datarobot Create Projects Models From Model

Tool to retrain an existing model with specified parameters. Use when you need to create a new version of a model with different training settings, sample size, or feature list. This action is asynchronous and returns a job URL to monitor progress.

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Use Datarobot Create Projects Models From Model

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Inputs

  • modelIdstring
    Required
    The ID of an existing model to use as the source for the training parameters.
  • nClustersinteger
    The number of clusters to use in the specified unsupervised clustering model. Only valid in unsupervised clustering projects. Must be between 2 and 100.
  • projectIdstring
    Required
    The ID of the DataRobot project. Use DATAROBOT_LIST_PROJECTS or DATAROBOT_GET_PROJECT to find project IDs.
  • samplePctnumber
    The percentage of the dataset to use to train the model. The specified percentage should be between 0 and 100. If not specified, original model sample percent will be used.
  • scoringTypestring
    Validation type for model retraining.
  • featurelistIdstring
    If specified, the model will be trained using that featurelist, otherwise the model will be trained on the same feature list as before.
  • trainingRowCountinteger
    The number of rows to use to train the model. If not specified, original model training row count will be used.
  • monotonicDecreasingFeaturelistIdstring
    The ID of the featurelist that defines the set of features with a monotonically decreasing relationship to the target. If null, no such constraints are enforced.
  • monotonicIncreasingFeaturelistIdstring
    The ID of the featurelist that defines the set of features with a monotonically increasing relationship to the target. If null, no such constraints are enforced.

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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