feat: Add F1 metric

[awinml]

Related Issues

Fixes #6068

Proposed Changes:

Adds support for the F1 metric to EvaluationResult.calculate_metrics(...)

The _calculate_f1 method of EvaluationResult had been updated to compute the F1 metric:

def _calculate_f1(
    self,
    output_key: str,
    regexes_to_ignore=None,
    ignore_case=False,
    ignore_punctuation=False,
    ignore_numbers=False,
) -> MetricsResult:
     ....
     return MetricsResult({"f1": f1})

Usage:

For evaluation of a pipeline:

pipeline = Pipeline()
inputs = [...]
expected_outputs = [...]

eval_result = eval(pipeline, inputs=inputs, expected_outputs=expected_outputs)
f1_metric = eval_result.calculate_metrics(Metric.F1, output_key="answers")

How did you test it?

Unit tests have been added.
End-to-end tests with the following pipelines have been added:

• Extractive QA Pipeline
• RAG Pipeline with BM25 Retriever
• RAG Pipeline with Embedding Retriever

---

This code was written collaboratively with @vrunm.

[coveralls]

Pull Request Test Coverage Report for Build 7640805943

• 0 of 0 changed or added relevant lines in 0 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage increased (+0.03%) to 88.906%

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Totals
Change from base Build 7629685083:	0.03%
Covered Lines:	4544
Relevant Lines:	5111

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💛 - Coveralls

[silvanocerza]

Looks good! 💯

Thanks for another great contribution. 😁