messages.content: Train a random forest classifier on dataset your_dataset_name with maximum depth of trees as 5, and number of estimators as 100.
messages.role: user
messages.role: assistant
messages.arguments: {"dataset": "your_dataset_name", "max_depth": 5, "n_estimators": 100}
messages.name: train_random_forest_classifier
messages.type: function
tools: [{"type": "function", "function": {"name": "train_random_forest_classifier", "description": "Train a Random Forest classifier with the specified parameters.", "parameters": {"type": "dict", "properties": {"dataset": {"type": "string", "description": "The dataset to train the classifier on."}, "max_depth": {"type": "integer", "description": "The maximum depth of the trees in the forest."}, "n_estimators": {"type": "integer", "description": "The number of trees in the forest."}}, "required": ["dataset", "max_depth", "n_estimators"]}}}]