From d92ed343fef98c4cfbf2086b6f4b1a5477da8fca Mon Sep 17 00:00:00 2001 From: schneefux Date: Sat, 20 Feb 2016 19:42:56 +0100 Subject: linear regression, smaller improvements --- boston.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) (limited to 'boston.py') diff --git a/boston.py b/boston.py index d6cf0d9..7968dec 100644 --- a/boston.py +++ b/boston.py @@ -5,7 +5,7 @@ from sklearn.cross_validation import train_test_split import tensorflow as tf import numpy.random -SEED = 1337 +SEED = 42 numpy.random.seed(SEED) tf.set_random_seed(SEED) @@ -32,7 +32,7 @@ DECAYRATE = 0.95 DECAYSTEPS = 10 RUNNAME = 'B'+str(BATCH)+'S'+str(STEPS)+'H'+str(HIDDEN)+'LR'+str(LEARNINGRATE)\ - + 'DR'+str(DECAYRATE)+'DS'+str(DECAYSTEPS) + + 'DR'+str(DECAYRATE)+'DS'+str(DECAYSTEPS)+'SD'+str(SEED) with tf.device('/cpu:0'): sess = tf.InteractiveSession() @@ -64,7 +64,6 @@ with tf.device('/cpu:0'): matLayerinHidden = tf.matmul(matLayerout, matWeightsHidden, name='hidden_input') matLayeroutHidden = tf.sigmoid(matLayerinHidden, name='hidden_output') - # TODO in Facharbeit Matrixprodukt erwähnen # only vec because OUT=1 vecLayeroutHidden = tf.reshape(matLayeroutHidden, [-1]) @@ -130,4 +129,4 @@ with tf.device('/cpu:0'): print(str(result[2]) + " (" + str( target_scaler.inverse_transform([result[2]])) + str(")")) print("MSE") - print(result[3]) + print(target_scaler.inverse_transform([result[3]])) -- cgit v1.3.1