the blueprint used to construct the model - note this is not an ObjectId
the blueprint used to construct the model - note this is not an ObjectId
the ID of the featurelist used by the model
the ID of the featurelist used by the model
the name of the featurelist used by the model
the name of the featurelist used by the model
Model ID
Model ID
boolean, indicating whether the model is frozen, i.e.
boolean, indicating whether the model is frozen, i.e. uses tuning parameters from a parent model
(bool) (New in version v2.13) whether the model has been starred
(bool) (New in version v2.13) whether the model has been starred
the performance of the model according to various metrics, see below
the performance of the model according to various metrics, see below
indicateswhatkindofmodelitis -willbeprimeforDataRobotPrime models, blend for blender models, scaleout for scaleout models, and model for all other models
indicateswhatkindofmodelitis -willbeprimeforDataRobotPrime models, blend for blender models, scaleout for scaleout models, and model for all other models
identifies the model, e.g.
identifies the model, e.g. Nystroem Kernel SVM Regressor
(new in v2.11) null or str, the ID of the featurelist that defines the set of features with a monotonically decreasing relationship to the target.
(new in v2.11) null or str, 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.
(new in v2.11) null or str, the ID of the featurelist that defines the set of features with a monotonically increasing relationship to the target.
(new in v2.11) null or str, 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.
(float) (New in version v2.13) threshold used for binary classification in predictions.
(float) (New in version v2.13) threshold used for binary classification in predictions.
(boolean) (New in version v2.13) indicates whether modification of a predictions threshold is forbidden.
(boolean) (New in version v2.13) indicates whether modification of a predictions threshold is forbidden. Threshold modification is forbidden once a model has had a deployment created or predictions made via the dedicated prediction API.
a json list of processes used by the model
a json list of processes used by the model
the ID of the project to which the model belongs
the ID of the project to which the model belongs
the percentage of the dataset used in training the model
the percentage of the dataset used in training the model
(new in v2.11) boolean, whether this model supports enforcing montonic constraints
(new in v2.11) boolean, whether this model supports enforcing montonic constraints
the duration spanned by the dates in the partition column for the data used to train the model
the duration spanned by the dates in the partition column for the data used to train the model
the end date of the dates in the partition column for the data used to train the model
the end date of the dates in the partition column for the data used to train the model
the number of rows used to train the model
the number of rows used to train the model
the start date of the dates in the partition column for the data used to train the model
the start date of the dates in the partition column for the data used to train the model
(Since version ) see corresponding Javadoc for more information.