ds : Dataset or ndarray
The data that will be Z-scored in-place.
params : None or tuple(mean, std) or dict
Fixed Z-Scoring parameters (mean, standard deviation). If provided,
no parameters are estimated from the data. It is possible to specify
individual parameters for each chunk by passing a dictionary with the
chunk ids as keys and the parameter tuples as values. If None,
parameters will be estimated from the training data.
param_est : None or tuple(attrname, attrvalues)
Limits the choice of samples used for automatic parameter estimation
to a specific subset identified by a set of a given sample attribute
values. The tuple should have the name of that sample
attribute as the first element, and a sequence of attribute values
as the second element. If None, all samples will be used for parameter
estimation.
chunks_attr : str or None
If provided, it specifies the name of a samples attribute in the
training data, unique values of which will be used to identify chunks of
samples, and to perform individual Z-scoring within them.
dtype : Numpy dtype, optional
Target dtype that is used for upcasting, in case integer data is to be
Z-scored.
enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition
to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
auto_train : bool
Flag whether the learner will automatically train itself on the input
dataset when called untrained.
force_train : bool
Flag whether the learner will enforce training on the input dataset
upon every call.
space: str, optional :
Name of the ‘processing space’. The actual meaning of this argument
heavily depends on the sub-class implementation. In general, this is
a trigger that tells the node to compute and store information about
the input data that is “interesting” in the context of the
corresponding processing in the output dataset.
postproc : Node instance, optional
Node to perform post-processing of results. This node is applied
in __call__() to perform a final processing step on the to be
result dataset. If None, nothing is done.
descr : str
Description of the instance
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