0.36.0

Fixed

• Close issue #114. Large batch size are set to the number of samples in predict for NR and FedPCA. (#115)

Changed

• BREAKING: Metrics are now given as metric_functions and not as metric_key. The functions given as metric functions to test data nodes are automatically registered in a new Substra function by SubstraFL. (#117).
  The new argument of the TestDataNode class metric_functions replaces the metric_keys one and accepts a dictionary (using the key as the identifier of the function given as value), a list of functions or directly a function if there is only one metric to compute (function.__name__ is then used as identifier).
  Installed dependencies are the algo_dependencies passed to execute_experiment, and permissions are the same as the predict function.

  From a user point of view, the metric registration changes from:

  def accuracy(datasamples, predictions_path):
    y_true = datasamples["labels"]
    y_pred = np.load(predictions_path)
  
    return accuracy_score(y_true, np.argmax(y_pred, axis=1))
  
  metric_deps = Dependency(pypi_dependencies=["numpy==1.23.1", "scikit-learn==1.1.1"])
  
  permissions_metric = Permissions(public=False, authorized_ids=DATA_PROVIDER_ORGS_ID)
  
  metric_key = add_metric(
      client=client,
      metric_function=accuracy,
      permissions=permissions_metric,
      dependencies=metric_deps,
  )
  
  test_data_nodes = [
      TestDataNode(
          organization_id=org_id,
          data_manager_key=dataset_keys[org_id],
          test_data_sample_keys=[test_datasample_keys[org_id]],
          metric_keys=[metric_key],
      )
      for org_id in DATA_PROVIDER_ORGS_ID
  ]

  to:

  def accuracy(datasamples, predictions_path):
    y_true = datasamples["labels"]
    y_pred = np.load(predictions_path)
  
    return accuracy_score(y_true, np.argmax(y_pred, axis=1))
  
  test_data_nodes = [
      TestDataNode(
          organization_id=org_id,
          data_manager_key=dataset_keys[org_id],
          test_data_sample_keys=[test_datasample_keys[org_id]],
          metric_functions={"Accuracy": accuracy},
      )
      for org_id in DATA_PROVIDER_ORGS_ID
  ]

• Enforce kwargs for user facing function with more than 3 parameters (#109)

• Remove references to composite. Replace by train_task. (#108)

Added

• Add the Federated Principal Component Analysis strategy (#97)