Solved minor bug with MLFlow logger (#16418)
Resolves https://github.com/Lightning-AI/lightning/issues/16411
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@ -132,6 +132,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
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- Fixed an unintended limitation for calling `save_hyperparameters` on mixin classes that don't subclass `LightningModule`/`LightningDataModule` ([#16369](https://github.com/Lightning-AI/lightning/pull/16369))
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- Fixed an issue with `MLFlowLogger` logging the wrong keys with `.log_hyperparams()` ([#16418](https://github.com/Lightning-AI/lightning/pull/16418))
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## [1.9.0] - 2023-01-17
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@ -247,7 +247,7 @@ class MLFlowLogger(Logger):
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f"Mlflow only allows parameters with up to 250 characters. Discard {k}={v}", category=RuntimeWarning
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)
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continue
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params_list.append(Param(key=v, value=v))
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params_list.append(Param(key=k, value=v))
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self.experiment.log_batch(run_id=self.run_id, params=params_list)
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@ -253,8 +253,9 @@ def test_mlflow_logger_experiment_calls(client, _, time, param, metric, tmpdir):
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logger.log_hyperparams(params)
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logger.experiment.log_batch.assert_called_once_with(
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run_id=logger.run_id, params=[param(key="test_param", value="test_param")]
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run_id=logger.run_id, params=[param(key="test", value="test_param")]
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)
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param.assert_called_with(key="test", value="test_param")
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metrics = {"some_metric": 10}
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logger.log_metrics(metrics)
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@ -262,6 +263,7 @@ def test_mlflow_logger_experiment_calls(client, _, time, param, metric, tmpdir):
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logger.experiment.log_batch.assert_called_with(
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run_id=logger.run_id, metrics=[metric(key="some_metric", value=10, timestamp=1000, step=0)]
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)
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metric.assert_called_with(key="some_metric", value=10, timestamp=1000, step=0)
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logger._mlflow_client.create_experiment.assert_called_once_with(
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name="test", artifact_location="my_artifact_location"
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