Updated server code with sparse GP implementation
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5 changed files with 488 additions and 170 deletions
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@ -1,9 +1,36 @@
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import pandas as pd
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import numpy as np
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import gpflow
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import tensorflow as tf
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from sklearn.exceptions import NotFittedError
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# Generator for tensorflow functions for a given model
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def get_model_evaluator(model):
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@tf.function
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def model_evaluator(tf_input):
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preds = model.predict_f(tf_input)
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return preds
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return model_evaluator
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def get_grad_evaluator(model):
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@tf.function
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def grad_evaluator(tf_input):
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with tf.GradientTape() as tape:
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preds = model.predict_f(tf_input)
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grads = tape.gradient(preds, tf_input)
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return grads
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return grad_evaluator
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def get_combined_evaluator(model):
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@tf.function
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def combined_evaluator(tf_input):
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with tf.GradientTape() as tape:
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preds = model.predict_f(tf_input)
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grads = tape.gradient(preds, tf_input)
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return preds, grads
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return combined_evaluator
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def get_random_signal(nstep, a_range = (-1, 1), b_range = (2, 10), signal_type = 'analog'):
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@ -47,6 +74,20 @@ def get_random_signal(nstep, a_range = (-1, 1), b_range = (2, 10), signal_type =
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raise ValueError(signal_type)
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def get_identification_signal(size):
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# Base random signal
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rand_signal = get_random_signal(size, signal_type = 'prbs')
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# Integrator (cumulative sum)
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cum_signal = 3/size * np.ones((1, size))
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cum_signal = np.cumsum(cum_signal)
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# Combine signals and clip signal to [-1, 1] range
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ident_signal = rand_signal + cum_signal
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ident_signal = np.where(ident_signal < -1, -1, ident_signal)
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ident_signal = np.where(ident_signal > 1, 1, ident_signal)
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return ident_signal
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def get_scaled_df(df, dict_cols, scaler):
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"""
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