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py-machine-learning: Print CSV line numbers for invalid lines (SKLearn Random Forest Classificator).

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* c-analysed: fix wrong length check

Signed-off-by: Toni Uhlig <matzeton@googlemail.com>
This commit is contained in:
Toni Uhlig
2023-01-30 22:33:53 +01:00
parent 23816f1403
commit 4236aafa0d
2 changed files with 2 additions and 2 deletions
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2
examples/c-analysed/c-analysed.c
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@@ -148,7 +148,7 @@ static void csv_buf_add(csv_buf_t buf, size_t * const csv_buf_used, char const *
{
size_t len;
if (siz_len > 1 && str != NULL)
if (siz_len > 0 && str != NULL)
{
len = MIN(BUFFER_REMAINING(*csv_buf_used), siz_len);
if (len == 0)

2
examples/py-machine-learning/sklearn-random-forest.py
View File

@@ -280,7 +280,7 @@ if __name__ == '__main__':
X += getRelevantFeaturesCSV(line)
y += [isProtoClass(args.proto_class, line['proto'])]
except RuntimeError as err:
print('Error: `{}\'\non line: {}'.format(err, line))
print('Error: `{}\'\non line {}: {}'.format(err, reader.line_num - 1, line))
sys.stderr.write('CSV data set contains {} entries.\n'.format(len(X)))