matrix_block_list: A list of 13 elements, containing time series matrices.
In mowomoyela/tstaxonomyr: A time series taxonomy to classify univariate or multivariate time series
Description
A list of 13 elements, containing time series matrices for the dynamic time
warping distance calculation. The 1000 time series data from the
multi_ts_list.RDS and uni_ts_list.RDS files are divided into 13 blocks by
their data type.
Usage
1
Format
A list of 13 elements, each element is a matrix:
- stock
A matrix, each row represents multivariate stock
time series data from kaggle
- weather
A matrix, each row represents multivariate weather
time series data from kaggle
- crime
A matrix, each row represents multivariate crime
time series data from kaggle
- crypto
A matrix, each row represents crypto currency
time series data from kaggle
- multi-other
A matrix, each row represents multivariate
time series data of different kind
- finance
A matrix, each row represents univariate finance
time series data from the M4 competition
- micro
A matrix, each row represents univariate micro
time series data from the M4 competition
- demographic
A matrix, each row represents univariate demographic
time series data from the M4 competition
- macro
A matrix, each row represents univariate macro
time series data from the M4 competition
- industry
A matrix, each row represents univariate industry
time series data from the M4 competition
- other
A matrix, each row represents univariate time series data
of different kind from the M4 competition
- NN3
A matrix, each row represents univariate time series data
from the NN3 competition
- NNGC
A matrix, each row represents univariate time series data from
the NNGC competition
mowomoyela/tstaxonomyr documentation built on May 15, 2019, 4:47 p.m.
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Description
A list of 13 elements, containing time series matrices for the dynamic time warping distance calculation. The 1000 time series data from the multi_ts_list.RDS and uni_ts_list.RDS files are divided into 13 blocks by their data type.
Usage
1 |
Format
A list of 13 elements, each element is a matrix:
- stock
A matrix, each row represents multivariate stock time series data from kaggle
- weather
A matrix, each row represents multivariate weather time series data from kaggle
- crime
A matrix, each row represents multivariate crime time series data from kaggle
- crypto
A matrix, each row represents crypto currency time series data from kaggle
- multi-other
A matrix, each row represents multivariate time series data of different kind
- finance
A matrix, each row represents univariate finance time series data from the M4 competition
- micro
A matrix, each row represents univariate micro time series data from the M4 competition
- demographic
A matrix, each row represents univariate demographic time series data from the M4 competition
- macro
A matrix, each row represents univariate macro time series data from the M4 competition
- industry
A matrix, each row represents univariate industry time series data from the M4 competition
- other
A matrix, each row represents univariate time series data of different kind from the M4 competition
- NN3
A matrix, each row represents univariate time series data from the NN3 competition
- NNGC
A matrix, each row represents univariate time series data from the NNGC competition
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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