clear_class_mlpT_clear_class_mlpClearClassMlpClearClassMlpclear_class_mlp (Operator)
Name
clear_class_mlpT_clear_class_mlpClearClassMlpClearClassMlpclear_class_mlp — Clear a multilayer perceptron.
Signature
Herror T_clear_class_mlp(const Htuple MLPHandle)
def clear_class_mlp(mlphandle: MaybeSequence[HHandle]) -> None
Description
clear_class_mlpclear_class_mlpClearClassMlpClearClassMlpclear_class_mlp clears the multilayer perceptron (MLP) given
by MLPHandleMLPHandleMLPHandleMLPHandlemlphandle and frees all memory required for the MLP.
After calling clear_class_mlpclear_class_mlpClearClassMlpClearClassMlpclear_class_mlp, the MLP can no longer be
used. The handle MLPHandleMLPHandleMLPHandleMLPHandlemlphandle becomes invalid.
Execution Information
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
This operator modifies the state of the following input parameter:
During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.
Parameters
MLPHandleMLPHandleMLPHandleMLPHandlemlphandle (input_control, state is modified) class_mlp(-array) → HClassMlp, HTupleMaybeSequence[HHandle]HTupleHtuple (handle) (IntPtr) (HHandle) (handle)
MLP handle.
Result
If MLPHandleMLPHandleMLPHandleMLPHandlemlphandle is valid, the operator clear_class_mlpclear_class_mlpClearClassMlpClearClassMlpclear_class_mlp
returns the value 2 (
H_MSG_TRUE)
. If necessary, an exception is
raised.
Possible Predecessors
classify_class_mlpclassify_class_mlpClassifyClassMlpClassifyClassMlpclassify_class_mlp,
evaluate_class_mlpevaluate_class_mlpEvaluateClassMlpEvaluateClassMlpevaluate_class_mlp
See also
create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpcreate_class_mlp,
read_class_mlpread_class_mlpReadClassMlpReadClassMlpread_class_mlp,
write_class_mlpwrite_class_mlpWriteClassMlpWriteClassMlpwrite_class_mlp,
train_class_mlptrain_class_mlpTrainClassMlpTrainClassMlptrain_class_mlp
Module
Foundation