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#include
#include
#include

#define PrintError(message) {
printf(“%s
“, message);
}

int main(int argc, char *argv[])
{
FILE *file;
int ch, i = 0, j;
char fname[100];
file = fopen(argv[1], “r”);
if (file == NULL)
PrintError(“Unable to open file”);

while (ch = fgetc(file))
fname[i++] = ch;

fclose(file);
printf(“%s
“, fname);
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– The main program of YamCha allows you to perform several commands in the same time, while the batch processing mode allows you to repeat several steps or commands of the same type, to automatically perform an operation on several similar records in the same time.
– One of the most important features of YamCha is the ability to create some “set” commands, that let you organize a lot of simple or complex actions in your working session. These commands can be used to repeat several times the same simple step or similar commands in the same time, or to define several experiments on the same dataset.
– “Command Set” allows you to execute several operations, performing commands in parallel or sequentially.
– Each command in a “Set” command can be executed through the CLI interface, or you can create a batch file with the YAML syntax to be executed on your own or by a scheduler.
– Command “help” provides a list of commands that can be found with an option “-h” from the CLI interface and within the help files that are generated when you execute a “Create Command Set”.
– The “Help” files are basically the YAML files that YamCha generates in the standard output when you execute the command “help” and the full YAML documentation with the command “help yamcha”.
Command Examples:
Set the parameters for the Vectors Sets of the ‘information extraction’ group:
For each set, the parameters “TFIDF vector” or “Trainset vector” are computed.
– add “vector” from the ‘information extraction’ group, to the command sets list
– Add the parameters as keyvalue pairs.
– add “vector”
– Add the parameters as keyvalue pairs.

YAML:
“`
– {
“name”: “information extraction”,
“description”: “Information extraction from the text”,
“parameters”: {
“vector”: {
“type”: “tfidf”,
“components”: [],
“normalizer

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