b97910e40fee6cb3116fbbfa9b72cede319a2ce0,deepchem/hyper/tests/test_gaussian_hyperparam_opt.py,TestGaussianHyperparamOpt,test_rf_with_logdir,#TestGaussianHyperparamOpt#,54

Before Change

    Test that using a logdir can work correctly.
    optimizer = dc.hyper.GaussianProcessHyperparamOpt(self.rf_model_builder)
    params_dict = {"n_estimators": 10}
    transformers = [
        dc.trans.NormalizationTransformer(
            transform_y=True, dataset=self.train_dataset)
    ]
    metric = dc.metrics.Metric(dc.metrics.pearson_r2_score)
    with tempfile.TemporaryDirectory() as tmpdirname:
      best_model, best_hyperparams, all_results = optimizer.hyperparam_search(
          params_dict,

After Change

    Test that using a logdir can work correctly.
    optimizer = dc.hyper.GaussianProcessHyperparamOpt(self.rf_model_builder)
    params_dict = {"n_estimators": 10}
    transformers = []
    metric = dc.metrics.Metric(dc.metrics.pearson_r2_score)
    with tempfile.TemporaryDirectory() as tmpdirname:
      best_model, best_hyperparams, all_results = optimizer.hyperparam_search(
          params_dict,

Instances