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Removed pybrain dependency

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Philippe Tillet
2014-10-05 21:16:35 +02:00
parent 0606944d9d
commit 1770d3d60b
1 changed files with 1 additions and 6 deletions
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7
autotune/python/model.py
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@@ -2,11 +2,6 @@ from sklearn import *;
from sklearn import ensemble; from sklearn import ensemble;
import numpy as np import numpy as np
import scipy as sp import scipy as sp
from pybrain.datasets import SupervisedDataSet
from pybrain.tools.shortcuts import buildNetwork
from pybrain.supervised.trainers import BackpropTrainer
from pybrain.structure import LinearLayer, TanhLayer, SigmoidLayer, SoftmaxLayer, FeedForwardNetwork, BiasUnit
from pybrain.tools.neuralnets import NNregression, Trainer
def train_model(X, Y, profiles, metric): def train_model(X, Y, profiles, metric):
#Preprocessing #Preprocessing
@@ -46,4 +41,4 @@ def train_model(X, Y, profiles, metric):
print("Average %s: %f (Default %f, Optimal %f)"%(metric, np.mean(np.multiply(GFlops,speedups)), np.mean(GFlops), np.mean(np.multiply(GFlops,optspeedups)))) print("Average %s: %f (Default %f, Optimal %f)"%(metric, np.mean(np.multiply(GFlops,speedups)), np.mean(GFlops), np.mean(np.multiply(GFlops,optspeedups))))
print("Minimum speedup is %f wrt %i %s"%(np.min(speedups), GFlops[np.argmin(speedups)], metric)) print("Minimum speedup is %f wrt %i %s"%(np.min(speedups), GFlops[np.argmin(speedups)], metric))
print("Maximum speedup is %f wrt %i %s"%(np.max(speedups), GFlops[np.argmax(speedups)], metric)) print("Maximum speedup is %f wrt %i %s"%(np.max(speedups), GFlops[np.argmax(speedups)], metric))
print("--------") print("--------")