Constraint: Abstract base class for constraints.
In torch: Tensors and Neural Networks with 'GPU' Acceleration
Constraint R Documentation
Abstract base class for constraints.
Description
Abstract base class for constraints.
Abstract base class for constraints.
Details
A constraint object represents a region over which a variable is valid,
e.g. within which a variable can be optimized.
Methods
Public methods
Method check()
Returns a byte tensor of sample_shape + batch_shape indicating
whether each event in value satisfies this constraint.
Usage
Constraint$check(value)
Arguments
valueeach event in value will be checked.
Method print()
Define the print method for constraints,
Usage
Constraint$print()
Method clone()
The objects of this class are cloneable with this method.
Usage
Constraint$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
torch documentation built on May 29, 2024, 9:54 a.m.
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| Constraint | R Documentation |
Abstract base class for constraints.
Description
Abstract base class for constraints.
Abstract base class for constraints.
Details
A constraint object represents a region over which a variable is valid, e.g. within which a variable can be optimized.
Methods
Public methods
Method check()
Returns a byte tensor of sample_shape + batch_shape indicating
whether each event in value satisfies this constraint.
Usage
Constraint$check(value)
Arguments
valueeach event in value will be checked.
Method print()
Define the print method for constraints,
Usage
Constraint$print()
Method clone()
The objects of this class are cloneable with this method.
Usage
Constraint$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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