create_analysis_pipeline()

template<ComputeData DataType = std::vector<Kakshya::DataVariant>>

std::shared_ptr< ComputationPipeline< DataType > > MayaFlux::Yantra::PipelineFactory::create_analysis_pipeline ( )

private

Create an analysis pipeline.

Template Parameters

DataType

The data type for the pipeline (defaults to std::vector<Kakshya::DataVariant>)

Returns

Shared pointer to a configured analysis pipeline

Creates a pipeline pre-configured for data analysis workflows with operations for feature extraction, statistical analysis, and result processing. Suitable for machine learning preprocessing and data science workflows.

Example:

auto analysis_pipeline = PipelineFactory::create_analysis_pipeline<>();
auto features = analysis_pipeline->process(raw_data, analysis_context);

Definition at line 389 of file ComputePipeline.hpp.

    {
        auto pipeline = std::make_shared<ComputationPipeline<DataType>>();
 
        // Add analysis operations (examples)
        // pipeline->create_operation<FeatureExtractor<DataType>>("feature_extract");
        // pipeline->create_operation<StandardSorter<DataType>>("sort_results");
 
        return pipeline;
    }