/// <summary>
/// Configures the <see cref="LearningPipeline"/> to use learning rate decay.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="learingRateDecay">The learning rate decay scheduler.</param>
/// <returns>The configured pipeline.</returns>
public static LearningPipeline UseLearningRateDecay(this LearningPipeline pipeline, ILearningRateDecay learingRateDecay)
{
pipeline.PipelineSettings.UseLearningRateDecay = true;
pipeline.PipelineSettings.LearningRateScheduler = learingRateDecay;
return(pipeline);
}
/// <summary>
/// Configures the <see cref="LearningPipeline"/> to use dropout.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="keepProbability">The keep probability.</param>
/// <returns>The configured pipeline.</returns>
public static LearningPipeline UseDropout(this LearningPipeline pipeline, double keepProbability)
{
pipeline.PipelineSettings.UseDropout = true;
pipeline.PipelineSettings.Dropout = new Dropout(keepProbability);
return(pipeline);
}
/// <summary>
/// Sets the regularization factor setting of the <see cref="LearningPipeline"/> to the specified value.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="regularizationFactor">The regularization factor.</param>
/// <returns>The configured pipeline.</returns>
internal static LearningPipeline SetRegularizationFactor(this LearningPipeline pipeline, double regularizationFactor)
{
Contracts.ValueGreaterThanZero(regularizationFactor, nameof(regularizationFactor));
pipeline.PipelineSettings.RegularizationFactor = regularizationFactor;
return(pipeline);
}
/// <summary>
/// Sets the dataset size setting of the <see cref="LearningPipeline"/> to the specified value.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="datasetSize">The dataset size.</param>
/// <returns>The configured pipeline.</returns>
internal static LearningPipeline SetDatasetSize(this LearningPipeline pipeline, int datasetSize)
{
Contracts.ValueGreaterThanZero(datasetSize, nameof(datasetSize));
pipeline.PipelineSettings.DatasetSize = datasetSize;
return(pipeline);
}
/// <summary>
/// Sets the batchs size setting of the <see cref="LearningPipeline"/> to the specified value.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="batchSize">The batch size.</param>
/// <returns>The configured pipeline.</returns>
internal static LearningPipeline SetBatchSize(this LearningPipeline pipeline, int batchSize)
{
Contracts.ValueGreaterThanZero(batchSize, nameof(batchSize));
pipeline.PipelineSettings.BatchSize = batchSize;
return(pipeline);
}
/// <summary>
/// Sets the epoch count setting of the <see cref="LearningPipeline"/> to the specified value.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="epochCount">The number of epochs.</param>
/// <returns>The configured pipeline.</returns>
public static LearningPipeline SetEpochCount(this LearningPipeline pipeline, int epochCount)
{
Contracts.ValueGreaterThanZero(epochCount, nameof(epochCount));
pipeline.PipelineSettings.EpochCount = epochCount;
return(pipeline);
}
/// <summary>
/// Configures the sizes of the hidden layers of the network.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="sizes">The array of sizes.</param>
/// <returns>The configured pipeline.</returns>
internal static LearningPipeline SetHiddenLayerSizes(this LearningPipeline pipeline, int[] sizes)
{
pipeline.PipelineSettings.HiddenLayerSizes = sizes;
return(pipeline);
}
/// <summary>
/// Configures the <see cref="LearningPipeline"/> to use L2 regularization.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="regularizationFactor">The regularization factor.</param>
/// <returns>The configured pipeline.</returns>
public static LearningPipeline UseL2Regularization(this LearningPipeline pipeline, double regularizationFactor)
{
pipeline.PipelineSettings.UseL2Regularization = true;
return(pipeline.SetRegularizationFactor(regularizationFactor));
}
/// <summary>
/// Configures the <see cref="LearningPipeline"/> to use gradient clipping.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <returns>The configured pipeline.</returns>
public static LearningPipeline UseGradientClipping(this LearningPipeline pipeline)
{
pipeline.PipelineSettings.UseGradientClipping = true;
return(pipeline);
}
/// <summary>
/// Resets the <see cref="LearningPipeline"/> settings to default values.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <returns>The configured pipeline.</returns>
public static LearningPipeline ResetPipelineSettings(this LearningPipeline pipeline)
{
pipeline.PipelineSettings.Reset();
return(pipeline);
}
/// <summary>
/// Setst the <see cref="InitializerType"/> setting of the <see cref="LearningPipeline"/> to the specified value.
/// </summary>
/// <param name="pipeline">The learning pipeline.</param>
/// <param name="initializerType">The type of initializer.</param>
/// <returns>The configured pipeline.</returns>
public static LearningPipeline SetWeightsInitializer(this LearningPipeline pipeline, InitializerType initializerType)
{
pipeline.PipelineSettings.WeightsInitializerType = initializerType;
return(pipeline);
}