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_fork(self)
Hook method for forking with default implementation. |
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_join(self,
forked_node)
Hook method for joining, to be overridden. |
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Inherited from PreserveDimNode (private):
_set_input_dim ,
_set_output_dim
Inherited from unreachable.newobject :
__long__ ,
__native__ ,
__nonzero__ ,
__unicode__ ,
next
Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__new__ ,
__reduce__ ,
__reduce_ex__ ,
__setattr__ ,
__sizeof__ ,
__subclasshook__
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fork(self)
Return a new instance of this node class for remote training. |
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join(self,
forked_node)
Absorb the trained node from a fork into this parent node. |
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__init__(self,
hist_fraction=1.0,
hist_filename=None,
input_dim=None,
output_dim=None,
dtype=None)
Initialize the node. |
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_stop_training(self)
Pickle the histogram data to file and clear it if required. |
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_train(self,
x)
Store the history data. |
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stop_training(self)
Pickle the histogram data to file and clear it if required. |
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train(self,
x)
Store the history data. |
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__call__(self,
x,
*args,
**kwargs)
Calling an instance of Node is equivalent to calling
its execute method. |
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_refcast(self,
x)
Helper function to cast arrays to the internal dtype. |
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copy(self,
protocol=None)
Return a deep copy of the node. |
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execute(self,
x,
*args,
**kwargs)
Process the data contained in x . |
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inverse(self,
y,
*args,
**kwargs)
Invert y . |
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is_training(self)
Return True if the node is in the training phase,
False otherwise. |
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save(self,
filename,
protocol=-1)
Save a pickled serialization of the node to filename .
If filename is None, return a string. |
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set_dtype(self,
t)
Set internal structures' dtype. |
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