Welcome to MindPype’s documentation!
Contents:
- Getting Started with MindPype
- Before Using MindPype
- Basic Setup
- Advanced Setup
- MindPype Package Contents
- Core Components
- Data Containers
Array
CircleBuffer
CircleBuffer.mp_type
CircleBuffer.head
CircleBuffer.tail
CircleBuffer.assign_random_data()
CircleBuffer.copy_to()
CircleBuffer.create()
CircleBuffer.dequeue()
CircleBuffer.enqueue()
CircleBuffer.enqueue_chunk()
CircleBuffer.flush()
CircleBuffer.get_queued_element()
CircleBuffer.is_empty()
CircleBuffer.is_full()
CircleBuffer.make_copy()
CircleBuffer.num_elements
CircleBuffer.peek()
CircleBuffer.to_tensor()
Scalar
Scalar.data_type
Scalar.data
Scalar.is_virtual
Scalar.ext_src
Scalar.volatile
Scalar.assign_random_data()
Scalar.copy_to()
Scalar.create()
Scalar.create_from_source()
Scalar.create_from_value()
Scalar.create_virtual()
Scalar.data
Scalar.make_copy()
Scalar.poll_volatile_data()
Scalar.push_volatile_outputs()
Tensor
Tensor.shape
Tensor.virtual
Tensor.ext_src
Tensor.ext_out
Tensor.data
Tensor.volatile
Tensor.assign_random_data()
Tensor.copy_to()
Tensor.create()
Tensor.create_from_data()
Tensor.create_from_handle()
Tensor.create_virtual()
Tensor.data
Tensor.make_copy()
Tensor.poll_volatile_data()
Tensor.push_volatile_outputs()
Tensor.shape
- Graphs - The Processing Pipelines
- External Data Sources
InputLSLStream
InputLSLStream.data_buffer
InputLSLStream.data_inlet
InputLSLStream.marker_inlet
InputLSLStream.marker_pattern
InputLSLStream.channels
InputLSLStream.TODO
InputLSLStream.MAX_NULL_READS
InputLSLStream.create_marker_coupled_data_stream()
InputLSLStream.create_marker_uncoupled_data_stream()
InputLSLStream.last_marker()
InputLSLStream.peek_marker()
InputLSLStream.poll_data()
InputLSLStream.update_input_streams()
InputXDFFile
OutputLSLStream
- Kernel Base Class
Kernel
Kernel.name
Kernel.init_style
Kernel.add_initialization_data()
Kernel.add_phony_init_input()
Kernel.add_phony_init_output()
Kernel.add_phony_input()
Kernel.add_phony_output()
Kernel.execute()
Kernel.get_init_input()
Kernel.get_init_output()
Kernel.get_input()
Kernel.get_output()
Kernel.init_input_labels
Kernel.init_inputs
Kernel.init_output_labels
Kernel.init_outputs
Kernel.initialize()
Kernel.inputs
Kernel.is_covariance_input()
Kernel.outputs
Kernel.phony_init_input_labels
Kernel.phony_init_inputs
Kernel.phony_init_output_labels
Kernel.phony_init_outputs
Kernel.phony_inputs
Kernel.phony_outputs
Kernel.update()
Kernel.update_parameters()
Kernel.verify()
- MindPype Classifier Objects
- MindPype Filter Objects
- List of available kernels
- Arithmetic Operations
- Baseline Correction
- Classifier
- Common Spatial Pattern (CSP)
- Data Management/Manipulation
- Epoch
- Feature Normalization
- Feature Selection
- Filters
- Kernel Utilities
- Logical Operations
- Pad
- Reduced Sum
- Resampling
- Riemann Distance
- Riemann MDM Classifier
- Riemann Mean
- Riemann Potato
- Running Average
- Slope
- Statistical Operations
- Tangent Space
- Thresholding
- Transpose
- XDawn Covariances