LEDDrift¶
LED stream generator with concept drift.
This class is an extension of the LED
generator whose purpose is to add concept drift to the stream.
Parameters¶
-
seed (int) – defaults to
None
If int,
seed
is used to seed the random number generator; If RandomState instance,seed
is the random number generator; If None, the random number generator is theRandomState
instance used bynp.random
. -
noise_percentage (float) – defaults to
0.0
The probability that noise will happen in the generation. At each new sample generated, a random number is generated, and if it is equal or less than the noise_percentage, the led value will be switched
-
irrelevant_features (bool) – defaults to
False
Adds 17 non-relevant attributes to the stream.
-
n_drift_features (int) – defaults to
0
The number of attributes that have drift.
Attributes¶
-
desc
Return the description from the docstring.
Examples¶
>>> from river import synth
>>> dataset = synth.LEDDrift(seed = 112, noise_percentage = 0.28,
... irrelevant_features= True, n_drift_features=4)
>>> for x, y in dataset.take(5):
... print(list(x.values()), y)
[1, 1, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1] 8
[0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1] 5
[1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 1] 8
[0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0] 3
[0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0] 5
Methods¶
take
Iterate over the k samples.
Parameters
- k (int)
Notes¶
An instance is generated based on the parameters passed. If has_noise
is set then the total number of attributes will be 24, otherwise there will
be 7 attributes.