TensorFlowDNNClassifier class is deprecated but replacement does not seem to work?
<p>Using the following with TF .9.0rc0 on 60,000 (train) and 26,000 (test) on  or so records with 145 coded columns (1,0) trying to predict 1 or 0 for class identification..</p>

<pre><code>classifier_TensorFlow = learn.TensorFlowDNNClassifier(hidden_units=[10, 20, 10],n_classes=2, steps=100)
classifier_TensorFlow.fit(X_train, y_train.ravel())
</code></pre>

<p>I get:</p>

<pre><code>WARNING:tensorflow:TensorFlowDNNClassifier class is deprecated. Please consider using DNNClassifier as an alternative.
Out[34]:TensorFlowDNNClassifier(steps=100, batch_size=32)
</code></pre>

<p>And then good results quite fast:</p>

<pre><code>score = metrics.accuracy_score(y_test,   classifier_TensorFlow.predict(X_test))
print('Accuracy: {0:f}'.format(score))
Accuracy: 0.923121
</code></pre>

<p>And:</p>

<pre><code>print (metrics.confusion_matrix(y_test, X_pred_class))
[[23996   103]
[ 1992    15]]
</code></pre>

<p>But when I try to use the new suggested method:</p>

<pre><code>classifier_TensorFlow = learn.DNNClassifier(hidden_units=[10, 20, 10],n_classes=2)
</code></pre>

<p>it hangs with no completion? it would not take the "steps" parameter? I get no error messages or output so not much to go on... Any ideas or hints? The documentation is a bit "light?"</p>