experiment_result

# Access phase information from experiment status
experiment = Experiment.get(name="ml-eval", project_name="My Project")
status = experiment.get_status()

log_gen = status.log_generation
if log_gen.is_complete:
    print("Log generation phase completed!")
elif log_gen.is_in_progress:
    print(f"Log generation at {log_gen.progress_percent:.1f}%")

# Check phase status
print(f"Phase status: {log_gen}")  # Human-readable string

def is_complete(self) -> bool

def is_failed(self) -> bool

def is_in_progress(self) -> bool

def is_pending(self) -> bool

def to_dict(self) -> dict[str, Any]

phase_dict = status.log_generation.to_dict()
print(phase_dict["progress_percent"])
print(phase_dict["is_complete"])

# Get status information
experiment = Experiment.get(name="ml-eval", project_name="My Project")
status = experiment.get_status()

# Human-readable output
print(status)  # "Experiment Running (45.2%)"
print(f"Log Generation: {status.log_generation}")  # "In Progress (45.2%)"

# Check status
if status.is_complete:
    print("Experiment completed!")
elif status.is_in_progress:
    print(f"Progress: {status.overall_progress:.1f}%")
elif status.is_pending:
    print("Experiment hasn't started yet")

# Convert to dictionary
status_dict = status.to_dict()
print(status_dict["overall_progress"])

def from_result(cls, result: dict[str, Any]) -> ExperimentStatusInfo

def is_complete(self) -> bool

def is_failed(self) -> bool

def is_in_progress(self) -> bool

def is_pending(self) -> bool

def overall_progress(self) -> float

def to_dict(self) -> dict[str, Any]

status = experiment.get_status()
status_dict = status.to_dict()
print(status_dict["overall_progress"])
print(status_dict["log_generation"]["is_complete"])

# Run an experiment and access the result
experiment = Experiment(
    name="ml-evaluation",
    dataset_name="ml-dataset",
    prompt_name="ml-prompt",
    project_name="My AI Project"
).create()

result = experiment.run()

# Access basic information
print(result)  # Human-readable summary
print(f"View results: {result.link}")
print(f"Experiment ID: {result.experiment_id}")

# Check status
if result.status.is_in_progress:
    print(f"Progress: {result.status.overall_progress:.1f}%")
elif result.status.is_complete:
    print("Experiment completed!")

# Get dataset and prompt information
if result.dataset_info:
    print(f"Dataset: {result.dataset_info['name']}")
if result.prompt_info:
    print(f"Prompt: {result.prompt_info['name']}")

# Convert to dictionary
result_dict = result.to_dict()
print(result_dict["link"])

def dataset_info(self) -> dict[str, str | None] | None

result = experiment.run()
if result.dataset_info:
    print(f"Dataset: {result.dataset_info['name']}")
    print(f"Version: {result.dataset_info['version']}")

def experiment(self) -> ExperimentResponse

def prompt_info(self) -> dict[str, str | None] | None

result = experiment.run()
if result.prompt_info:
    print(f"Prompt: {result.prompt_info['name']}")
    print(f"ID: {result.prompt_info['id']}")

def to_dict(self) -> dict[str, Any]

result = experiment.run()
result_dict = result.to_dict()
print(result_dict["link"])
print(result_dict["status"]["overall_progress"])