From c39b537afdb99b98527599a750b3b00095ea7004 Mon Sep 17 00:00:00 2001 From: "Mahadik, Mukul Chandrakant" Date: Mon, 15 Apr 2024 20:30:21 -0700 Subject: [PATCH] Removed extraneous seed_model.json Accidentally added this after running all tests. --- seed_model.json | 1 - 1 file changed, 1 deletion(-) delete mode 100644 seed_model.json diff --git a/seed_model.json b/seed_model.json deleted file mode 100644 index b8a4aca8a..000000000 --- a/seed_model.json +++ /dev/null @@ -1 +0,0 @@ -{"py/object": "sklearn.ensemble._forest.RandomForestClassifier", "py/state": {"base_estimator": {"py/object": "sklearn.tree._classes.DecisionTreeClassifier", "py/state": {"class_weight": null, "classes_": null, "criterion": "gini", "max_depth": null, "max_features": null, "max_features_": null, "max_leaf_nodes": null, "min_impurity_split": 1e-07, "min_samples_leaf": 1, "min_samples_split": 2, "min_weight_fraction_leaf": 0.0, "n_classes_": null, "n_features_": null, "n_outputs_": null, "presort": false, "random_state": null, "splitter": "best", "tree_": null, "_sklearn_version": "0.23.2"}}, "base_estimator_": {"py/id": 1}, "bootstrap": true, "class_weight": null, "classes_": {"py/object": "numpy.ndarray", "dtype": "float64", "values": [1.0, 5.0]}, "criterion": "gini", "estimator_params": {"py/tuple": ["criterion", "max_depth", "min_samples_split", "min_samples_leaf", "min_weight_fraction_leaf", "max_features", "max_leaf_nodes", "min_impurity_split", "random_state"]}, "estimators_": [{"py/object": "sklearn.tree._classes.DecisionTreeClassifier", "py/state": {"class_weight": null, "classes_": {"py/object": "numpy.ndarray", "dtype": "float64", "values": [0.0, 1.0]}, "criterion": "gini", "max_depth": null, "max_features": "auto", "max_features_": 3, "max_leaf_nodes": null, "min_impurity_split": 1e-07, "min_samples_leaf": 1, "min_samples_split": 2, "min_weight_fraction_leaf": 0.0, "n_classes_": {"py/object": "numpy.int64", "dtype": "int64", "value": 2}, "n_features_": 13, "n_outputs_": 1, "presort": false, "random_state": 1842313873, "splitter": "best", "tree_": {"py/reduce": [{"py/type": "sklearn.tree._tree.Tree"}, {"py/tuple": [13, {"py/object": "numpy.ndarray", "dtype": "int64", "values": [2]}, 1]}, {"max_depth": 1, "node_count": 3, "nodes": {"py/object": "numpy.ndarray", "dtype": "[('left_child', '