RandomRBFDrift¶
Random Radial Basis Function generator with concept drift.
This class is an extension from the RandomRBF
generator. Concept drift can be introduced in instances of this class.
The drift is created by adding a "speed" to certain centroids. As the samples are generated each of the moving centroids' centers is changed by an amount determined by its speed.
Parameters¶
-
seed_model (int) – defaults to
None
Model's seed to generate centroids 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
. -
seed_sample (int) – defaults to
None
Sample's seed 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
. -
n_classes (int) – defaults to
2
The number of class labels to generate.
-
n_features (int) – defaults to
10
The number of numerical features to generate.
-
n_centroids (int) – defaults to
50
The number of centroids to generate.
-
change_speed (float) – defaults to
0.0
The concept drift speed.
-
n_drift_centroids (int) – defaults to
50
The number of centroids that will drift.
Attributes¶
-
desc
Return the description from the docstring.
Examples¶
>>> from river import synth
>>>
>>> dataset = synth.RandomRBFDrift(seed_model=42, seed_sample=42,
... n_classes=4, n_features=4, n_centroids=20,
... change_speed=0.87, n_drift_centroids=10)
>>>
>>> for x, y in dataset.take(5):
... print(x, y)
{0: 1.1965, 1: 0.5729, 2: 0.8607, 3: 0.5888} 0
{0: 0.3383, 1: 0.8072, 2: 0.8051, 3: 0.4140} 3
{0: 0.5362, 1: -0.2867, 2: 0.0962, 3: 0.8974} 2
{0: 1.1875, 1: 1.0385, 2: 0.8323, 3: -0.0553} 2
{0: 0.3256, 1: 0.9206, 2: 0.8595, 3: 0.5907} 2
Methods¶
take
Iterate over the k samples.
Parameters
- k (int)