int gradient_descent

(model** mo, sequence_t* sq, double eta,
  int no_steps)

Trains the model with a set of annotated sequences till convergence using gradient descent.

Documentation

Trains the model with a set of annotated sequences till convergence using gradient descent. Model must not have silent states. (checked in Python wrapper)

Parameters:

mo - : pointer to a model
sq - : struct of annotated sequences
eta - : intial parameter eta (learning rate)
no_steps - number of training steps

Returns:

0/-1 success/error

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