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fix: update ImportError for 'metrics' dependency (#4778)
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@ -30,7 +30,7 @@ except ImportError as exc:
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try:
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try:
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from seqeval.metrics import classification_report as token_classification_report
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from seqeval.metrics import classification_report as token_classification_report
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except ImportError as exc:
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except ImportError as exc:
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logger.debug("seqeval could not be imported. Run 'pip install farm-haystack[eval]' to fix this issue.")
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logger.debug("seqeval could not be imported. Run 'pip install farm-haystack[metrics]' to fix this issue.")
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token_classification_report = None
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token_classification_report = None
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@ -150,7 +150,9 @@ def compute_report_metrics(head: PredictionHead, preds, labels):
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report_fn = registered_reports[head.ph_output_type] # type: ignore [index]
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report_fn = registered_reports[head.ph_output_type] # type: ignore [index]
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elif head.ph_output_type == "per_token":
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elif head.ph_output_type == "per_token":
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if not token_classification_report:
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if not token_classification_report:
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raise ImportError("seqeval could not be imported. Run 'pip install farm-haystack[eval]' to fix this issue.")
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raise ImportError(
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"seqeval could not be imported. Run 'pip install farm-haystack[metrics]' to fix this issue."
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)
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report_fn = token_classification_report
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report_fn = token_classification_report
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elif head.ph_output_type == "per_sequence":
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elif head.ph_output_type == "per_sequence":
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if not classification_report:
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if not classification_report:
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@ -14,7 +14,7 @@ logger = logging.getLogger(__file__)
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try:
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try:
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from rapidfuzz import fuzz
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from rapidfuzz import fuzz
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except ImportError as exc:
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except ImportError as exc:
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logger.debug("rapidfuzz could not be imported. Run 'pip install farm-haystack[eval]' to fix this issue.")
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logger.debug("rapidfuzz could not be imported. Run 'pip install farm-haystack[metrics]' to fix this issue.")
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fuzz = None # type: ignore
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fuzz = None # type: ignore
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@ -56,7 +56,9 @@ def calculate_context_similarity(
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Thus [AB] <-> [BC] (score ~50) gets recalculated with B <-> B (score ~100) scoring ~75 in total.
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Thus [AB] <-> [BC] (score ~50) gets recalculated with B <-> B (score ~100) scoring ~75 in total.
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"""
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"""
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if not fuzz:
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if not fuzz:
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raise ImportError("rapidfuzz could not be imported. Run 'pip install farm-haystack[eval]' to fix this issue.")
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raise ImportError(
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"rapidfuzz could not be imported. Run 'pip install farm-haystack[metrics]' to fix this issue."
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)
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# we need to handle short contexts/contents (e.g single word)
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# we need to handle short contexts/contents (e.g single word)
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# as they produce high scores by matching if the chars of the word are contained in the other one
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# as they produce high scores by matching if the chars of the word are contained in the other one
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# this has to be done after normalizing
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# this has to be done after normalizing
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@ -18,7 +18,7 @@ logger = logging.getLogger(__name__)
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try:
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try:
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import mlflow
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import mlflow
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except ImportError as exc:
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except ImportError as exc:
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logger.debug("mlflow could not be imported. Run 'pip install farm-haystack[eval]' to fix this issue.")
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logger.debug("mlflow could not be imported. Run 'pip install farm-haystack[metrics]' to fix this issue.")
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mlflow = None
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mlflow = None
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@ -165,7 +165,9 @@ class MLflowTrackingHead(BaseTrackingHead):
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Experiment tracking head for MLflow.
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Experiment tracking head for MLflow.
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"""
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"""
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if not mlflow:
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if not mlflow:
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raise ImportError("mlflow could not be imported. Run 'pip install farm-haystack[eval]' to fix this issue.")
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raise ImportError(
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"mlflow could not be imported. Run 'pip install farm-haystack[metrics]' to fix this issue."
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)
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super().__init__()
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super().__init__()
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self.tracking_uri = tracking_uri
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self.tracking_uri = tracking_uri
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self.auto_track_environment = auto_track_environment
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self.auto_track_environment = auto_track_environment
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