mirror of https://github.com/VLSIDA/OpenRAM.git
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
# See LICENSE for licensing information.
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#
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# Copyright (c) 2016-2023 Regents of the University of California and The Board
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# of Regents for the Oklahoma Agricultural and Mechanical College
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# (acting for and on behalf of Oklahoma State University)
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# All rights reserved.
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#
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from sklearn.linear_model import Ridge
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from sklearn.linear_model import LinearRegression
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from openram import debug
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from openram import OPTS
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from .regression_model import regression_model
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class linear_regression(regression_model):
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def __init__(self, sram, spfile, corner):
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super().__init__(sram, spfile, corner)
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def get_model(self):
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return Ridge()
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def generate_model(self, features, labels):
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"""
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Supervised training of model.
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"""
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#model = LinearRegression()
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model = self.get_model()
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model.fit(features, labels)
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return model
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def model_prediction(self, model, features):
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"""
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Have the model perform a prediction and unscale the prediction
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as the model is trained with scaled values.
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"""
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pred = model.predict(features)
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return pred
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