Transformer
HOG1DTransformer
HOG1D transform.
This class is to calculate the HOG1D transform of a dataframe of time series data. Works by splitting the time series num_intervals times, and calculate a histogram of gradients within each interval.
Quickstart
python
from sktime.transformations.hog1d import HOG1DTransformer
estimator = HOG1DTransformer(num_intervals=2, num_bins=8, scaling_factor=0.1)Tags
Capabilities
- Multivariate
- Unequal-length series
- Inverse transform: Not supported
- Missing values: Not supported
- Removes missing values: Not supported
- Equalizes series length: Not supported
Properties
- Input typescitype:transform-input
- Series
- Output typescitype:transform-output
- Series
- Label typescitype:transform-labels
- None
- Fit is emptyfit_is_empty
- Yes
- Keeps the time indextransform-returns-same-time-index
- No
- Requires Xrequires_X
- Yes
- Requires yrequires_y
- No
- X and y need the same indexX-y-must-have-same-index
- No
Parameters(3)
- num_intervalsint, default=2
- length of interval.
- num_binsint, default=8
- num bins in the histogram.
- scaling_factorfloat, default=0.1
- a constant that is multiplied to modify the distribution.
Examples
>>> from sktime.transformations.hog1d import HOG1DTransformer
>>> from sktime.datasets import load_arrow_head
>>>
>>> X, y = load_arrow_head (return_X_y = True)
>>>
>>> # Initialize the transformer
>>> hog1d_transformer = HOG1DTransformer (
... num_intervals = 5, num_bins = 8, scaling_factor = 0.1
... )
>>>
>>> # Transform the data
>>> Xt = hog1d_transformer. fit_transform (X)