Incremental training using TensorFlowEstimator
<p>I am using tensorflow for my machine learning model. </p>

<pre><code>from tensorflow.contrib import learn
regressor = learn.TensorFlowEstimator()
</code></pre>

<p><a href="https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/api_docs/python/functions_and_classes/shard4/tf.contrib.learn.TensorFlowEstimator.md" rel="nofollow">reference</a></p>

<p>How to do incremental learning with model? I am confused about continue_training parameter in its constructor. It says you can call fit again and again with new data. And at the same time it provides partial_fit(). Please help me understand ?</p>

<p>You can just use fit() with continue_training; partial_fit will eventually get deprecated.</p>

python python-3.x machine-learning tensorflow