/// <summary> /// Convert to variable array of floats. /// </summary> /// <param name="input">The input column.</param> /// <returns >Column with variable array of floats.</returns> public static VarVector <float> ToFloat(this VarVector <ushort> input) => new ImplVarVector <ushort>(Contracts.CheckRef(input, nameof(input)), InternalDataKind.R4);
public IidSpikeEstimator(IHostEnvironment env, IidSpikeDetector.Arguments args)
: base(Contracts.CheckRef(env, nameof(env)).Register(nameof(IidSpikeEstimator)), new IidSpikeDetector(env, args))
{
}
// Do not edit this file directly. Rather, it is generated out of ConvertStaticExtensions.tt. #region For string inputs. /// <summary> /// Convert to float. /// </summary> /// <param name="input">The input column.</param> /// <returns >Float column.</returns> public static Scalar <float> ToFloat(this Scalar <string> input) => new ImplScalar <string>(Contracts.CheckRef(input, nameof(input)), InternalDataKind.R4);
/// <summary>
/// Feature Contribution Calculation computes model-specific contribution scores for each feature.
/// Note that this functionality is not supported by all the models. See <see cref="FeatureContributionCalculatingTransformer"/> for a list of the suported models.
/// </summary>
/// <param name="env">The environment to use.</param>
/// <param name="modelParameters">Trained model parameters that support Feature Contribution Calculation and which will be used for scoring.</param>
/// <param name="featureColumn">The name of the feature column that will be used as input.</param>
/// <param name="numPositiveContributions">The number of positive contributions to report, sorted from highest magnitude to lowest magnitude.
/// Note that if there are fewer features with positive contributions than <paramref name="numPositiveContributions"/>, the rest will be returned as zeros.</param>
/// <param name="numNegativeContributions">The number of negative contributions to report, sorted from highest magnitude to lowest magnitude.
/// Note that if there are fewer features with negative contributions than <paramref name="numNegativeContributions"/>, the rest will be returned as zeros.</param>
/// <param name="normalize">Whether the feature contributions should be normalized to the [-1, 1] interval.</param>
internal FeatureContributionCalculatingTransformer(IHostEnvironment env, ICalculateFeatureContribution modelParameters,
string featureColumn = DefaultColumnNames.Features,
int numPositiveContributions = FeatureContributionCalculatingEstimator.Defaults.NumPositiveContributions,
int numNegativeContributions = FeatureContributionCalculatingEstimator.Defaults.NumNegativeContributions,
bool normalize = FeatureContributionCalculatingEstimator.Defaults.Normalize)
: base(Contracts.CheckRef(env, nameof(env)).Register(nameof(FeatureContributionCalculatingTransformer)), new[] { (name: DefaultColumnNames.FeatureContributions, source: featureColumn) })
