MLModel
abstract class NatML.MLModel : IDisposable
The
MLModel class abstracts a machine learning model, containing a computation graph for making predictions along with feature type information and metadata.Models provide information about their expected input and output feature types. This type information is crucial for writing model predictors.
/// <summary>
/// Model input feature types.
/// </summary>
MLFeatureType[] inputs { get; }
The model provides its expected input feature types. This information is crucial in order to create input features for predictions. Typically, a predictor will handle any necessary conversions of your input feature so that it matches the type that the model expects.
The
inputs are reported in the same order that they are expected by the model when making predictions./// <summary>
/// Model output feature types.
/// </summary>
MLFeatureType[] outputs { get; }
The model provides its output feature types. This information is crucial in order to convert the model's raw outputs into more usable forms by predictors.
The
outputs are reported in the same order that they are produced by the model when making predictions./// <summary>
/// Get the model metadata dictionary.
/// </summary>
IReadOnlyDictionary<string, string> metadata { get; }
Models expose metadata that was defined when they were created.
/// <summary>
/// Dispose the model and release resources.
/// </summary>
void Dispose ();
Models can consume native and cloud resources, including threads, memory allocators, and so on. As a result, you must dispose of the model once you are done using it.
Do not use a model once it has been disposed. Doing so will lead to a hard crash.
Last modified 7mo ago