dcase_util.processors.RepositoryAggregationProcessor

class dcase_util.processors.RepositoryAggregationProcessor(win_length_frames=10, hop_length_frames=1, recipe=None, **kwargs)[source]

Data aggregation processor

Constructor

Parameters
recipelist of dict or list of str

Aggregation recipe, supported methods [mean, std, cov, kurtosis, skew, flatten].

win_length_framesint

Window length in feature frames

hop_length_framesint

Hop length in feature frames

__init__(win_length_frames=10, hop_length_frames=1, recipe=None, **kwargs)[source]

Constructor

Parameters
recipelist of dict or list of str

Aggregation recipe, supported methods [mean, std, cov, kurtosis, skew, flatten].

win_length_framesint

Window length in feature frames

hop_length_framesint

Hop length in feature frames

Methods

__init__([win_length_frames, ...])

Constructor

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