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feets.extractors.ext_std.Std
Create plot routine for extractor Std.
Std
Path: feets.extractors.ext_std.py
Std - Standard deviation of the magnitudes The standard deviation σ of the sample is defined as: $$\sigma=\frac{1}{N-1}\sum_{i} (y_{i}-\hat{y})^2$$ For example, a white noise time serie should have σ = 1 >>> fs = feets.FeatureSpace(only=['Std']) >>> features, values = fs.extract(**lc_normal) >>> dict(zip(features, values)) {'Std': 0.99320419310116881} References
Std - Standard deviation of the magnitudes
The standard deviation σ of the sample is defined as:
$$\sigma=\frac{1}{N-1}\sum_{i} (y_{i}-\hat{y})^2$$
For example, a white noise time serie should have σ = 1
>>> fs = feets.FeatureSpace(only=['Std']) >>> features, values = fs.extract(**lc_normal) >>> dict(zip(features, values)) {'Std': 0.99320419310116881}
The text was updated successfully, but these errors were encountered:
leliel12
martinberoiz
BrunoSanchez
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Create plot routine for extractor
Std
.Path: feets.extractors.ext_std.py
Features
Extractor Documentation
The text was updated successfully, but these errors were encountered: