mirror of
https://github.com/webclinic017/drift.git
synced 2026-07-28 11:17:47 +00:00
Mark Aron Szulyovszky
b6cd6b14fe
* feat(Config): feature extractors are enabled one-by-one with a bool, added previous model to model.fit() * fix(Sweep): removed unused `other_features` parameter that fails sweep * feat(Config): using preset names for defining feature extractors again * fix(Tests): fixed model stub classes
24 lines
541 B
Python
24 lines
541 B
Python
from models.base import Model
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import numpy as np
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class StaticAverageModel(Model):
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'''
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Model that averages .
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'''
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# data_format = 'dataframe'
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data_scaling = 'unscaled'
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only_column = 'model_'
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def fit(self, X, y, prev_model):
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# This is a static model, it can' learn anything
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pass
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def predict(self, X):
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# Make sure there's data to average
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assert X.shape[1] > 0
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prediction = np.average(X[0])
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return np.array([prediction])
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def clone(self):
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return self |