cox_regression.client module
Client module for cox regression
- class cox_regression.client.Client(config, client_name)[source]
Bases:
ClientThe client class, representing data owning clients in the learning process. Based on logistic regression client.
- __init__(config, client_name)[source]
Initializes the client
- Parameters:
config (
Config) – The configuration for the experiment
- compute_time_bins(global_max_time)[source]
Compute time bins given a max event time
- Parameters:
global_max_time (
int) – The global max event time- Return type:
ndarray[Any,dtype[float64]]- Returns:
The time bins
- async get_global_max_time()[source]
Get the global maximum event time.
- Return type:
int- Returns:
The global maximum event time
- load_data()[source]
Load the data as in logistic regression, but add the time column to the data. The time column is the last column in the data and can hence be used in further analysis.
- Return type:
tuple[ndarray[Any,dtype[float64]],ndarray[Any,dtype[bool_]]]- Returns:
A data set containing covariates and time column and an array containing failure data.
- Raises:
FileNotFoundError – if the training data file does not exist.