dcase_util.processors.SequencingProcessor

class dcase_util.processors.SequencingProcessor(sequence_length=10, hop_length=None, padding=None, shift_border='roll', shift=0, required_data_amount_per_segment=0.9, **kwargs)

Data sequencing processor

__init__ method.

Parameters

sequence_lengthint

Sequence length Default value 10

hop_lengthint

Hop value of when forming the sequence, if None then hop length equals to sequence_length (non-overlapping sequences). Default value None

padding: str

How data is treated at the boundaries [None, ‘zero’, ‘repeat’] Default value None

shift_borderstring, [‘roll’, ‘shift’]

Sequence border handling when doing temporal shifting. Default value roll

shiftint

Sequencing grid shift. Default value 0

required_data_amount_per_segmentfloat [0,1]

Percentage of valid data items per segment there need to be for valid segment. Use this parameter to filter out part of the non-full segments. Default value 0.9

__init__(sequence_length=10, hop_length=None, padding=None, shift_border='roll', shift=0, required_data_amount_per_segment=0.9, **kwargs)

__init__ method.

Parameters

sequence_lengthint

Sequence length Default value 10

hop_lengthint

Hop value of when forming the sequence, if None then hop length equals to sequence_length (non-overlapping sequences). Default value None

padding: str

How data is treated at the boundaries [None, ‘zero’, ‘repeat’] Default value None

shift_borderstring, [‘roll’, ‘shift’]

Sequence border handling when doing temporal shifting. Default value roll

shiftint

Sequencing grid shift. Default value 0

required_data_amount_per_segmentfloat [0,1]

Percentage of valid data items per segment there need to be for valid segment. Use this parameter to filter out part of the non-full segments. Default value 0.9

Methods

__init__([sequence_length, hop_length, ...])	__init__ method.
delimiter([exclude_delimiters])	Use csv.sniffer to guess delimiter for CSV file
detect_file_format([filename])	Detect file format from extension
empty()	Check if file is empty
exists()	Checks that file exists
get_file_information()	Get file information, filename
get_processing_chain_item()	Get processing chain item with current Processor data.
is_package([filename])	Determine if the file is compressed package.
load([filename])	Load file
log([level])	Log container content
process([data, store_processing_chain])	Process
save([filename])	Save file
show([mode, indent, visualize])	Print container content
to_html([indent])	Get container information in a HTML formatted string
to_string([ui, indent])	Get container information in a string
validate_format()	Validate file format

Attributes

bytes	File size in bytes
input_type	Input data type
logger	Logger instance
md5	Checksum for file.
output_type	Output data type
valid_formats	Valid file formats