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+---
+---
+<!-- This file is machine generated: DO NOT EDIT! -->
+
+# Trainer
+[TOC]
+
+Generic trainer for TensorFlow models.
+
+## Other Functions and Classes
+- - -
+
+### `class skflow.TensorFlowTrainer` {#TensorFlowTrainer}
+
+General trainer class.
+
+Attributes:
+  model: Model object.
+  gradients: Gradients tensor.
+- - -
+
+#### `skflow.TensorFlowTrainer.__init__(loss, global_step, optimizer, learning_rate, clip_gradients=5.0)` {#TensorFlowTrainer.__init__}
+
+Build a trainer part of graph.
+
+##### Args:
+
+
+*  <b>`loss`</b>: Tensor that evaluates to model's loss.
+*  <b>`global_step`</b>: Tensor with global step of the model.
+*  <b>`optimizer`</b>: Name of the optimizer class (SGD, Adam, Adagrad) or class.
+*  <b>`learning_rate`</b>: If this is constant float value, no decay function is used.
+                 Instead, a customized decay function can be passed that accepts
+                 global_step as parameter and returns a Tensor.
+                 e.g. exponential decay function:
+                 def exp_decay(global_step):
+                    return tf.train.exponential_decay(
+                        learning_rate=0.1, global_step=global_step,
+                        decay_steps=2, decay_rate=0.001)
+
+##### Raises:
+
+
+*  <b>`ValueError`</b>: if learning_rate is not a float or a callable.
+
+
+- - -
+
+#### `skflow.TensorFlowTrainer.initialize(sess)` {#TensorFlowTrainer.initialize}
+
+Initalizes all variables.
+
+##### Args:
+
+
+*  <b>`sess`</b>: Session object.
+
+##### Returns:
+
+    Values of initializers.
+
+
+- - -
+
+#### `skflow.TensorFlowTrainer.train(sess, feed_dict_fn, steps, monitor, summary_writer=None, summaries=None, feed_params_fn=None)` {#TensorFlowTrainer.train}
+
+Trains a model for given number of steps, given feed_dict function.
+
+##### Args:
+
+
+*  <b>`sess`</b>: Session object.
+*  <b>`feed_dict_fn`</b>: Function that will return a feed dictionary.
+*  <b>`summary_writer`</b>: SummaryWriter object to use for writing summaries.
+*  <b>`steps`</b>: Number of steps to run.
+*  <b>`monitor`</b>: Monitor object to track training progress and induce early stopping
+*  <b>`summaries`</b>: Joined object of all summaries that should be ran.
+
+##### Returns:
+
+    List of losses for each step.
+
+
+