In [4]:

    

from sklearn import model_selection
from sklearn.datasets import load_iris
from sklearn.metrics import accuracy_score
from sklearn.pipeline import Pipeline
from sklearn.preprocessing import StandardScaler
import tensorflow as tf

learn = tf.contrib.learn


iris = load_iris()
x_train, x_test, y_train, y_test = model_selection.train_test_split(
    iris.data, iris.target, test_size=0.2, random_state=42)

scaler = StandardScaler()

classifier = learn.DNNClassifier(
    feature_columns=learn.infer_real_valued_columns_from_input(x_train),
    hidden_units=[10, 20, 10],
    n_classes=3)

pipeline = Pipeline([('scaler', scaler), ('DNNclassifier', classifier)])

pipeline.fit(x_train, y_train, DNNclassifier__steps=200)
score = accuracy_score(y_test, list(pipeline.predict(x_test)))

print('Accurary: {0:f}'.format(score))


    

    




WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:Using temporary folder as model directory: /tmp/tmppz8tah46
INFO:tensorflow:Using default config.
INFO:tensorflow:Using config: {'_cluster_spec': <tensorflow.python.training.server_lib.ClusterSpec object at 0x7f16701774a8>, '_task_id': 0, '_tf_config': gpu_options {
  per_process_gpu_memory_fraction: 1.0
}
, '_num_ps_replicas': 0, '_save_checkpoints_secs': 600, '_tf_random_seed': None, '_is_chief': True, '_evaluation_master': '', '_save_summary_steps': 100, '_keep_checkpoint_every_n_hours': 10000, '_keep_checkpoint_max': 5, '_task_type': None, '_master': '', '_environment': 'local', '_save_checkpoints_steps': None}
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/sklearn/pipeline.py:270: calling BaseEstimator.fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
  est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/sklearn/pipeline.py:270: calling BaseEstimator.fit (from tensorflow.contrib.learn.python.learn.estimators.estimator) with y is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
  est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/estimators/head.py:1362: scalar_summary (from tensorflow.python.ops.logging_ops) is deprecated and will be removed after 2016-11-30.
Instructions for updating:
Please switch to tf.summary.scalar. Note that tf.summary.scalar uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, passing a tensor or list of tags to a scalar summary op is no longer supported.






    




/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py:247: FutureWarning: comparison to `None` will result in an elementwise object comparison in the future.
  equality = a == b






    




INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Saving checkpoints for 1 into /tmp/tmppz8tah46/model.ckpt.
INFO:tensorflow:step = 1, loss = 1.07601
INFO:tensorflow:global_step/sec: 414.884
INFO:tensorflow:step = 101, loss = 0.105941
INFO:tensorflow:Saving checkpoints for 200 into /tmp/tmppz8tah46/model.ckpt.
INFO:tensorflow:Loss for final step: 0.0572026.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py:374: calling BaseEstimator.predict (from tensorflow.contrib.learn.python.learn.estimators.estimator) with x is deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
  est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:float64 is not supported by many models, consider casting to float32.
Accurary: 1.000000

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