dcase_util.data.OneHotEncoder

class dcase_util.data.OneHotEncoder(label_list=None, time_resolution=1.0, length_frames=1, length_seconds=None, allow_unknown_labels=False, **kwargs)

One hot encoder class

Constructor

Parameters

label_listlist or str

Label list Default value None

time_resolutionfloat

Time resolution Default value 1.0

length_framesint

length of binary matrix in frames Default value 1

length_secondsfloat

length of binary matrix in seconds Default value None

allow_unknown_labelsbool

Allow unknown labels in the decoding. If False, labels not in the given label_list will produce an error. Default value False

__init__(label_list=None, time_resolution=1.0, length_frames=1, length_seconds=None, allow_unknown_labels=False, **kwargs)

Constructor

Parameters

label_listlist or str

Label list Default value None

time_resolutionfloat

Time resolution Default value 1.0

length_framesint

length of binary matrix in frames Default value 1

length_secondsfloat

length of binary matrix in seconds Default value None

allow_unknown_labelsbool

Allow unknown labels in the decoding. If False, labels not in the given label_list will produce an error. Default value False

Methods

__init__([label_list, time_resolution, ...])	Constructor
change_axis([time_axis, data_axis])	Set axis
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
encode(label[, length_frames, length_seconds])	Generate one hot binary matrix
exists()	Checks that file exists
freeze()	Freeze focus segment, copy segment to be container's data.
get_file_information()	Get file information, filename
get_focused()	Get focus segment from data matrix.
get_frames([frame_ids, vector_ids, frame_hop])	Get frames from data matrix.
is_package([filename])	Determine if the file is compressed package.
load([filename])	Load file
log([level])	Log container content
pad(length[, binary_matrix])	Pad binary matrix along time axis
plot([plot, binary_matrix, data_container, ...])	Visualize binary matrix, and optionally synced data matrix.
push_processing_chain_item(processor_name[, ...])	Push processing chain item
reset_focus()	Reset focus segment
save([filename])	Save file
set_focus([start, stop, duration, ...])	Set focus segment
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

T	Transposed data in a data container
bytes	File size in bytes
data	Data matrix
focus_start	Focus segment start
focus_stop	Focus segment stop
frames	Number of data frames
length	Number of data columns
logger	Logger instance
md5	Checksum for file.
shape	Shape of data matrix
stats	Basic statistics of data matrix.
valid_formats	Valid file formats
vector_length	Data vector length