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
Type →
int | NoneDefault →
NoneModel's random seed to generate centroids.
-
seed_sample
Type →
int | NoneDefault →
NoneSample's random seed.
-
n_classes
Type →
intDefault →
2The number of class labels to generate.
-
n_features
Type →
intDefault →
10The number of numerical features to generate.
-
n_centroids
Type →
intDefault →
50The number of centroids to generate.
-
change_speed
Type →
floatDefault →
0.0The concept drift speed.
-
n_drift_centroids
Type →
intDefault →
50The number of centroids that will drift.
Attributes¶
-
desc
Return the description from the docstring.
Examples¶
from river.datasets 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: 1.0989, 1: 0.3840, 2: 0.7759, 3: 0.6592} 2
{0: 1.1496, 1: 1.9014, 2: 1.5393, 3: 0.3210} 0
{0: 0.7146, 1: -0.2414, 2: 0.8933, 3: 1.6633} 0
{0: 0.3797, 1: -0.1027, 2: 0.8717, 3: 1.1635} 0
{0: 0.1295, 1: 0.5953, 2: 0.1774, 3: 0.6673} 1
Methods¶
take
Iterate over the k samples.
Parameters
- k —
int