deephyper.nas.node.VariableNode#

class deephyper.nas.node.VariableNode(name='')[source]#

Bases: deephyper.nas.node.OperationNode

This class represents a node of a graph where you have a set of possible operations. It means the agent will have to act to choose one of these operations.

>>> import tensorflow as tf
>>> from deephyper.nas.space.node import VariableNode
>>> vnode = VariableNode("VNode1")
>>> from deephyper.nas.space.op.op1d import Dense
>>> vnode.add_op(Dense(
... units=10,
... activation=tf.nn.relu))
>>> vnode.num_ops
1
>>> vnode.add_op(Dense(
... units=1000,
... activation=tf.nn.tanh))
>>> vnode.num_ops
2
>>> vnode.set_op(0)
>>> vnode.op.units
10

Parameters: name (str) – node name.

Methods

`add_op`
`create_tensor`
`denormalize`	Denormalize a normalized index to get an absolute indexes.
`get_op`
`set_op`
`verify_operation`

Attributes

`id`
`num`
`num_ops`
`op`
`ops`

denormalize(index)[source]#

Denormalize a normalized index to get an absolute indexes. Useful when you want to compare the number of different search_spaces.

Parameters: indexes (float|int) – a normalized index.
Returns: An absolute indexes corresponding to the operation choosen with the relative index of index.
Return type: int