dcase_util.data.Normalizer

class dcase_util.data.Normalizer(n=None, s1=None, s2=None, mean=None, std=None, **kwargs)[source]

Data normalizer to accumulate data statistics

__init__ method.

Parameters

nint: Item count used to calculate statistics Default value None
s1np.array [shape=(vector_length,)]: Vector-wise sum of the data seen by the Normalizer Default value None
s2np.array [shape=(vector_length,)]: Vector-wise sum^2 of the data seen by the Normalizer Default value None
meannp.ndarray() [shape=(vector_length, 1)]: Mean of the data Default value None
stdnp.ndarray() [shape=(vector_length, 1)]: Standard deviation of the data Default value None

__init__(n=None, s1=None, s2=None, mean=None, std=None, **kwargs)[source]

__init__ method.

Parameters

nint: Item count used to calculate statistics Default value None
s1np.array [shape=(vector_length,)]: Vector-wise sum of the data seen by the Normalizer Default value None
s2np.array [shape=(vector_length,)]: Vector-wise sum^2 of the data seen by the Normalizer Default value None
meannp.ndarray() [shape=(vector_length, 1)]: Mean of the data Default value None
stdnp.ndarray() [shape=(vector_length, 1)]: Standard deviation of the data Default value None

Methods

`__init__`([n, s1, s2, mean, std])	__init__ method.
`accumulate`(data[, time_axis])	Accumulate statistics
`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
`finalize`()	Finalize statistics calculation
`get_file_information`()	Get file information, filename
`is_package`([filename])	Determine if the file is compressed package.
`load`([filename])	Load file
`log`([level])	Log container content
`normalize`(data, **kwargs)	Normalize data matrix with internal statistics of the class.
`plot`([plot, figsize])	Visualize normalization factors.
`reset`()	Reset internal variables.
`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