diff options
Diffstat (limited to 'utils/training')
-rw-r--r-- | utils/training/estimate_interpolation.cpp | 4 | ||||
-rw-r--r-- | utils/training/eval_correction_rate.cpp | 1 | ||||
-rw-r--r-- | utils/training/prune_k_mixture_model.cpp | 2 |
3 files changed, 3 insertions, 4 deletions
diff --git a/utils/training/estimate_interpolation.cpp b/utils/training/estimate_interpolation.cpp index b8687ee..a966720 100644 --- a/utils/training/estimate_interpolation.cpp +++ b/utils/training/estimate_interpolation.cpp @@ -45,7 +45,7 @@ parameter_t compute_interpolation(SingleGram * deleted_bigram, BigramPhraseWithCountArray array = g_array_new(FALSE, FALSE, sizeof(BigramPhraseItemWithCount)); deleted_bigram->retrieve_all(array); - for ( int i = 0; i < array->len; ++i){ + for (size_t i = 0; i < array->len; ++i){ BigramPhraseItemWithCount * item = &g_array_index(array, BigramPhraseItemWithCount, i); //get the phrase token phrase_token_t token = item->m_token; @@ -117,7 +117,7 @@ int main(int argc, char * argv[]){ parameter_t lambda_sum = 0; int lambda_count = 0; - for ( int i = 0; i < deleted_items->len; ++i ){ + for (size_t i = 0; i < deleted_items->len; ++i ){ phrase_token_t * token = &g_array_index(deleted_items, phrase_token_t, i); SingleGram * single_gram = NULL; bigram.load(*token, single_gram); diff --git a/utils/training/eval_correction_rate.cpp b/utils/training/eval_correction_rate.cpp index f2bfadf..a8338df 100644 --- a/utils/training/eval_correction_rate.cpp +++ b/utils/training/eval_correction_rate.cpp @@ -160,7 +160,6 @@ int main(int argc, char * argv[]){ char* linebuf = NULL; size_t size = 0; TokenVector tokens = g_array_new(FALSE, TRUE, sizeof(phrase_token_t)); - phrase_token_t token = null_token; while( getline(&linebuf, &size, evals_file) ) { if ( feof(evals_file) ) break; diff --git a/utils/training/prune_k_mixture_model.cpp b/utils/training/prune_k_mixture_model.cpp index 40dfb87..28fb4ca 100644 --- a/utils/training/prune_k_mixture_model.cpp +++ b/utils/training/prune_k_mixture_model.cpp @@ -56,7 +56,7 @@ bool prune_k_mixture_model(KMixtureModelMagicHeader * magic_header, phrase_token_t token = item->m_token; parameter_t remained_poss = 1; parameter_t one_poss = 0; bool errors = false; - for ( size_t k = 0; k < g_prune_k; ++k){ + for (ssize_t k = 0; k < g_prune_k; ++k){ one_poss = compute_Pr_G_3_with_count (k, magic_header->m_N, item->m_item.m_WC, magic_header->m_N - item->m_item.m_N_n_0, |