This class contains several discrete-valued time series, in a dataset. It contains for each sequence, its length and weights.
The internal representation uses factor-like representation. The integer values correspond to the words stored into the dictionary vector. Therefor, they are in the interval [1,K].
@section Slots:
yRaw
:A matrix of character
string, describing the content of
the original dataset or file, if any.
y
:A list of vector of integer
representing the each discrete-valued time series
of the dataset, as can be used by the models.
T
:A vector of integer
values representing the length of each sequence.
weights
:A vector of numeric
values representing the weight of each sequence.
K
:A integer
value representing the number of possible ouput and the number
of words stored into the dictionary.
N
:A integer
value representing the number of sequence.
Dictionary
:A vector of character
string representing the translation between
the yRaw and y data. Each character string is stored according to the integer which represents it into y.
cov
:A matrix of integer
representing the covariates.
Kcov
:A vector of integer
representing the number of possible output for each covariate.
Ncov
:A integer
value representing the number of covariates.
@seealso march.dataset.loadFromFile
, march.dataset.loadFromDataFrame
@author Ogier Maitre
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