diff options
Diffstat (limited to 'boston.py')
| -rw-r--r-- | boston.py | 9 |
1 files changed, 7 insertions, 2 deletions
@@ -4,6 +4,7 @@ from sklearn import preprocessing from sklearn.cross_validation import train_test_split import tensorflow as tf import numpy.random +import numpy as np SEED = 42 numpy.random.seed(SEED) @@ -73,8 +74,8 @@ with tf.device('/cpu:0'): tf.log(tf.add(vecLayeroutHidden, 1))) scalarLogdiffsum = tf.reduce_sum(tf.abs(vecLogdifference)) scalarDiffsum = tf.reduce_sum(tf.abs(vecDifference)) - scalarMSE = tf.reduce_sum(tf.square(vecDifference)) - scalarError = scalarDiffsum # scalarLogdiffsum + scalarMSE = tf.reduce_sum(tf.square(vecDifference)) # ! do not unscale + scalarError = scalarDiffsum summaryError = tf.scalar_summary('error', scalarError) with tf.name_scope('train'): @@ -123,6 +124,9 @@ with tf.device('/cpu:0'): print("difference") print("--------------------------------") print(target_scaler.inverse_transform(result[0])) + diff = target_scaler.inverse_transform( + result[1]) - target_scaler.inverse_transform(y_test) + print(diff) print("--------------------------------") print("") print("total logarithmic difference") @@ -130,3 +134,4 @@ with tf.device('/cpu:0'): target_scaler.inverse_transform([result[2]])) + str(")")) print("MSE") print(target_scaler.inverse_transform([result[3]])) + print(np.mean(diff ** 2)) |