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>fann_train_epoch</H1
><DIV
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><H2
>Name</H2
>fann_train_epoch -- Trains one epoch.</DIV
><DIV
CLASS="refsect1"
><A
NAME="AEN689"
></A
><H2
>Description</H2
><code
class="methodsynopsis"
> <span
class="type"
>float </span
>fann_train_epoch(<span
class="methodparam"
><span
class="type"
>struct fann * </span
><span
class="parameter"
>ann</span
></span
><span
class="methodparam"
>, <span
class="type"
>struct fann_train_data * </span
><span
class="parameter"
>data</span
></span
>); </code
><P
> Train one epoch with the training data stored in <VAR
CLASS="parameter"
>data</VAR
>. One epoch is
where all of the training data is considered exactly once.
</P
><P
> This function returns the MSE error as it is calculated either before or during the actual training.
This is not the actual MSE after the training epoch, but since calculating this will require to go
through the entire training set once more, it is more than adequate to use this value during training.
</P
><P
> The training algorithm used by this function is chosen by the
<A
HREF="r972.html"
><CODE
CLASS="function"
>fann_set_training_algorithm</CODE
></A
>
function. The default training algorithm is <A
HREF="r1996.html"
><CODE
CLASS="constant"
>FANN_TRAIN_RPROP</CODE
></A
>.
</P
><P
>This function appears in FANN >= 1.2.0.</P
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