Benchmark problem on survivalgan

[BioinfoLabImmuno]

What?

I want to evaluate the synthetic data generated but I have this code:

from synthcity.benchmark import Benchmarks

df=df.loc[df['OS_time']>0,:]
loader = SurvivalAnalysisDataLoader(
    df,
    target_column="os_event",
    time_to_event_column="OS_time",
)
score = Benchmarks.evaluate(
    [(f"test_{model}", model, {}) for model in ["survival_gan"]],
    loader,
    synthetic_size=100,
    repeats=2,
    task_type="survival_analysis",
)

Here I have the error

)     time_horizons = np.linspace(T.min(), T.max(), num=5)[1:-1].tolist()

ValueError: The time_to_event_column contains 1 values less than or equal to zero. Please remove them.

I have check the loader value of time_to_event is a numeric no 0 are present. Could you please help me?

[robsdavis]

Hi @BioinfoLabImmuno,

This error occurs if applying a filter like this data[data[time_to_event_column] > 0] changes the value of the first dimension of the shape of the data. Can you see why your data would cause this to happen? for example, the time to event value cannot be negative