geht nicht

1 files changed, 55 insertions, 0 deletions

diff --git a/boston.py b/boston.py
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index 0000000..55c814e
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+++ b/boston.py
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+#!/usr/bin/python3
+from sklearn import datasets
+from sklearn import preprocessing
+from sklearn.cross_validation import train_test_split
+import numpy as np
+import tensorflow as tf
+
+dataset = datasets.load_boston()
+data, target = dataset.data, dataset.target
+
+data_scaler = preprocessing.MinMaxScaler()
+target_scaler = preprocessing.MinMaxScaler()
+
+data = data_scaler.fit_transform(data)
+target = target_scaler.fit_transform(target)
+
+np.random.seed(0)
+
+x_train, x_test, y_train, y_test = train_test_split(
+    data, target, train_size=0.85
+)
+
+
+x = tf.placeholder(tf.float32, [None, 13], name="input")
+W = tf.Variable(tf.zeros([13, 1]), name="weight")
+b = tf.Variable(tf.zeros([1]), name="bias")
+
+y = tf.add(tf.matmul(x, W), b)
+
+y_ = tf.placeholder(tf.float32, name="target")
+rmsle = tf.reduce_mean(tf.sqrt(tf.log(y_) - tf.log(y)))
+train_step = tf.train.GradientDescentOptimizer(0.1).minimize(rmsle)
+
+init = tf.initialize_all_variables()
+sess = tf.Session()
+sess.run(init)
+
+last = 0
+batchsize = 50
+next_last = last + batchsize
+while next_last < len(x_train):
+    print("running next batch")
+    next_last = last + batchsize
+    if next_last > len(x_train):
+        next_last = len(x_train)
+
+    xt = x_train[last:next_last]
+    yt = y_train[last:next_last]
+    sess.run(train_step, feed_dict={x: xt, y_: yt})
+    last = next_last
+
+print("finished training")
+
+diff = tf.sub(y, y_)
+print(sess.run(diff, feed_dict={x: x_test, y_: y_test}))