Overview
Add new columns to an existing experiment dataset structure.
Method Signature
# Synchronous
client.experiments.add_columns(
experiment_id: str,
columns: List[Dict[str, Any]]
) -> Dict[str, Any]
# Asynchronous
await client.experiments.add_columns(
experiment_id: str,
columns: List[Dict[str, Any]]
) -> Dict[str, Any]
Parameters
The unique identifier of the experiment
columns
List[Dict[str, Any]]
required
List of column definitions to add to the experiment
Returns
Returns a dictionary containing the updated experiment information.
Example
from keywordsai import KeywordsAI
client = KeywordsAI(api_key="your-api-key")
# Add new columns to experiment
columns = [
{
"name": "confidence_score",
"type": "float",
"description": "Model confidence level"
},
{
"name": "category",
"type": "string",
"description": "Response category"
}
]
result = client.experiments.add_columns(
experiment_id="exp_123",
columns=columns
)
print(f"Added {len(columns)} columns to experiment")
Error Handling
try:
result = client.experiments.add_columns(
experiment_id="exp_123",
columns=columns
)
except Exception as e:
print(f"Error adding columns: {e}")
