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[parser] fixing some uninitialized value issues during parser training

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Al
2016-11-30 15:42:09 -08:00
parent f5a6bd0f36
commit 0e29cdd9fd
1 changed files with 3 additions and 6 deletions
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9
src/averaged_perceptron_trainer.c
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@@ -193,14 +193,12 @@ khash_t(class_weights) *averaged_perceptron_trainer_get_class_weights(averaged_p
static inline bool averaged_perceptron_trainer_update_weight(khash_t(class_weights) *weights, uint64_t iter, uint32_t class_id, double value) {
class_weight_t weight;
class_weight_t weight = NULL_WEIGHT;
size_t index;
khiter_t k;
k = kh_get(class_weights, weights, class_id);
if (k == kh_end(weights)) {
weight = NULL_WEIGHT;
} else {
if (k != kh_end(weights)) {
weight = kh_value(weights, k);
}
@@ -257,7 +255,7 @@ uint32_t averaged_perceptron_trainer_predict(averaged_perceptron_trainer_t *self
scores->n = num_classes;
}
double_array_set(scores->a, scores->n, 0.0);
double_array_zero(scores->a, scores->n);
cstring_array_foreach(features, i, feature, {
if (!averaged_perceptron_trainer_get_feature_id(self, feature, &feature_id, add_if_missing)) {
@@ -368,7 +366,6 @@ bool averaged_perceptron_trainer_train_example(averaged_perceptron_trainer_t *se
}
uint32_t guess = averaged_perceptron_trainer_predict(self, features);
char *predicted = cstring_array_get_string(self->class_strings, guess);
// Online error-driven learning, only needs to update weights when it gets a wrong answer, making training fast
if (guess != truth) {