int sample_all = 0, r_type, cv_n;
int total_c_count = 0;
int tree_block_size, temp_block_size, max_split_size, nv_size, cv_size = 0;
- int64 ds_step, dv_step, ms_step = 0, mv_step = 0; // {data|mask}{sample|var}_step
- int64 vi, i, size;
+ int ds_step, dv_step, ms_step = 0, mv_step = 0; // {data|mask}{sample|var}_step
+ int vi, i, size;
char err[100];
const int *sidx = 0, *vidx = 0;
- uint64 effective_buf_size = -1;
- int effective_buf_height = -1, effective_buf_width = -1;
+ uint64 effective_buf_size = 0;
+ int effective_buf_height = 0, effective_buf_width = 0;
if ( _params.use_surrogates )
CV_ERROR(CV_StsBadArg, "CvERTrees do not support surrogate splits");
for( i = 0; i < sample_count; i++ )
{
int val = INT_MAX, si = sidx ? sidx[i] : i;
- if( !mask || !mask[si*m_step] )
+ if( !mask || !mask[(size_t)si*m_step] )
{
if( idata )
- val = idata[si*step];
+ val = idata[(size_t)si*step];
else
{
- float t = fdata[si*step];
+ float t = fdata[(size_t)si*step];
val = cvRound(t);
if( val != t )
{
- sprintf( err, "%ld-th value of %ld-th (categorical) "
+ sprintf( err, "%d-th value of %d-th (categorical) "
"variable is not an integer", i, vi );
CV_ERROR( CV_StsBadArg, err );
}
if( val == INT_MAX )
{
- sprintf( err, "%ld-th value of %ld-th (categorical) "
+ sprintf( err, "%d-th value of %d-th (categorical) "
"variable is too large", i, vi );
CV_ERROR( CV_StsBadArg, err );
}
{
float val = ord_nan;
int si = sidx ? sidx[i] : i;
- if( !mask || !mask[si*m_step] )
+ if( !mask || !mask[(size_t)si*m_step] )
{
if( idata )
- val = (float)idata[si*step];
+ val = (float)idata[(size_t)si*step];
else
- val = fdata[si*step];
+ val = fdata[(size_t)si*step];
if( fabs(val) >= ord_nan )
{
- sprintf( err, "%ld-th value of %ld-th (ordered) "
+ sprintf( err, "%d-th value of %d-th (ordered) "
"variable (=%g) is too large", i, vi, val );
CV_ERROR( CV_StsBadArg, err );
}
int sample_all = 0, r_type, cv_n;
int total_c_count = 0;
int tree_block_size, temp_block_size, max_split_size, nv_size, cv_size = 0;
- int64 ds_step, dv_step, ms_step = 0, mv_step = 0; // {data|mask}{sample|var}_step
- int64 vi, i, size;
+ int ds_step, dv_step, ms_step = 0, mv_step = 0; // {data|mask}{sample|var}_step
+ int vi, i, size;
char err[100];
const int *sidx = 0, *vidx = 0;
for( i = 0; i < sample_count; i++ )
{
int val = INT_MAX, si = sidx ? sidx[i] : i;
- if( !mask || !mask[si*m_step] )
+ if( !mask || !mask[(size_t)si*m_step] )
{
if( idata )
- val = idata[si*step];
+ val = idata[(size_t)si*step];
else
{
- float t = fdata[si*step];
+ float t = fdata[(size_t)si*step];
val = cvRound(t);
if( fabs(t - val) > FLT_EPSILON )
{
- sprintf( err, "%ld-th value of %ld-th (categorical) "
+ sprintf( err, "%d-th value of %d-th (categorical) "
"variable is not an integer", i, vi );
CV_ERROR( CV_StsBadArg, err );
}
if( val == INT_MAX )
{
- sprintf( err, "%ld-th value of %ld-th (categorical) "
+ sprintf( err, "%d-th value of %d-th (categorical) "
"variable is too large", i, vi );
CV_ERROR( CV_StsBadArg, err );
}
{
float val = ord_nan;
int si = sidx ? sidx[i] : i;
- if( !mask || !mask[si*m_step] )
+ if( !mask || !mask[(size_t)si*m_step] )
{
if( idata )
- val = (float)idata[si*step];
+ val = (float)idata[(size_t)si*step];
else
- val = fdata[si*step];
+ val = fdata[(size_t)si*step];
if( fabs(val) >= ord_nan )
{
- sprintf( err, "%ld-th value of %ld-th (ordered) "
+ sprintf( err, "%d-th value of %d-th (ordered) "
"variable (=%g) is too large", i, vi, val );
CV_ERROR( CV_StsBadArg, err );
}
float r = (float)predict( &sample, missing ? &miss : 0 )->value;
if( pred_resp )
pred_resp[i] = r;
- int d = fabs((double)r - response->data.fl[si*r_step]) <= FLT_EPSILON ? 0 : 1;
+ int d = fabs((double)r - response->data.fl[(size_t)si*r_step]) <= FLT_EPSILON ? 0 : 1;
err += d;
}
err = sample_count ? err / (float)sample_count * 100 : -FLT_MAX;
float r = (float)predict( &sample, missing ? &miss : 0 )->value;
if( pred_resp )
pred_resp[i] = r;
- float d = r - response->data.fl[si*r_step];
+ float d = r - response->data.fl[(size_t)si*r_step];
err += d*d;
}
err = sample_count ? err / (float)sample_count : -FLT_MAX;
int vi = split->var_idx;
int ci = vtype[vi];
i = vidx ? vidx[vi] : vi;
- float val = sample[i*step];
- if( m && m[i*mstep] )
+ float val = sample[(size_t)i*step];
+ if( m && m[(size_t)i*mstep] )
continue;
if( ci < 0 ) // ordered
dir = val <= split->ord.c ? -1 : 1;