MlModel
MlModel : SyntheticModel
See Synthetics chapter.
Unique identifier for entity in its project
Type of this entity
See Synthetics chapter
See Synthetics chapter
Training period description, known as the identification period or baseline, utilized during the model training process
List of independent variables, also known as model inputs or features, associated with a machine learning model
Goodness-of-fit metrics provided in the form of a simple dictionary
Result of model identification, which may appear as a list of model parameters for simpler models or as a reference to a stored model, in the form of a file uri
Dependent variable, also known as the model output or target, associated, with a machine learning model
Marker
See Synthetics chapter.
Span?
Training period description, known as the identification period or baseline, utilized during the model training process.
List?
List of independent variables, also known as model inputs or features, associated with a machine learning model.
Dict?
Goodness-of-fit metrics provided in the form of a simple dictionary. For example: {r2:0.7889, cvrmse:58}.
Dict?
Result of model identification, which may appear as a list of model parameters for simpler models or as a reference to a stored model, in the form of a file uri. The structure of the dict is user-specific.
Ref?
Dependent variable, also known as the model output or target, associated, with a machine learning model. Represents the predicted outcome generated by the model.