src/orion/algo/base.py
def judge(self, point, measurements):  # pylint:disable=no-self-use,unused-argument
        """Inform an algorithm about online `measurements` of a running trial.

        :param point: A tuple which specifies the values of the (hyper)parameters
           used to execute user's script with.

        This method is to be used as a callback in a client-server communication
        between user's script and a orion's worker using a `BaseAlgorithm`.
        Data returned from this method must be serializable and will be used as
        a response to the running environment. Default response is None.

        .. note:: Calling algorithm to `judge` a `point` based on its online
           `measurements` will effectively change a state in the algorithm (like
           a reinforcement learning agent's hidden state or an automatic early
           stopping mechanism's regression), which it may change the value of
           the property `should_suspend`.

        :returns: None or a serializable dictionary containing named data

        """
        return None
Inform an algorithm about online `measurements` of a running trial.

        :param point: A tuple which specifies the values of the (hyper)parameters
           used to execute user's script with.

        This method is to be used as a callback in a client-server communication
        between user's script and a orion's worker using a `BaseAlgorithm`.
        Data returned from this method must be serializable and will be used as
        a response to the running environment. Default response is None.

        .. note:: Calling algorithm to `judge` a `point` based on its online
           `measurements` will effectively change a state in the algorithm (like
           a reinforcement learning agent's hidden state or an automatic early
           stopping mechanism's regression), which it may change the value of
           the property `should_suspend`.

        :returns: None or a serializable dictionary containing named data

        
Inform an algorithm about online `measurements` of a running trial.
Inform an algorithm about online ` measurements ` of a running trial .
def judge(self, point, measurements):  
        return None
def judge ( self , point , measurements ) : return None
Inform an algorithm about online `measurements` of a running trial.
Inform an algorithm about online ` measurements ` of a running trial .
# pylint:disable=no-self-use,unused-argument """Inform an algorithm about online `measurements` of a running trial.

        :param point: A tuple which specifies the values of the (hyper)parameters
           used to execute user's script with.

        This method is to be used as a callback in a client-server communication
        between user's script and a orion's worker using a `BaseAlgorithm`.
        Data returned from this method must be serializable and will be used as
        a response to the running environment. Default response is None.

        .. note:: Calling algorithm to `judge` a `point` based on its online
           `measurements` will effectively change a state in the algorithm (like
           a reinforcement learning agent's hidden state or an automatic early
           stopping mechanism's regression), which it may change the value of
           the property `should_suspend`.

        :returns: None or a serializable dictionary containing named data

        """
None or a serializable dictionary containing named data
None or a serializable dictionary containing named data
self
point
A tuple which specifies the values of the (hyper)parameters
used to execute user's script with.

This method is to be used as a callback in a client-server communication
between user's script and a orion's worker using a `BaseAlgorithm`.
Data returned from this method must be serializable and will be used as
a response to the running environment. Default response is None.

: Calling algorithm to `judge` a `point` based on its online
`measurements` will effectively change a state in the algorithm (like
a reinforcement learning agent's hidden state or an automatic early
stopping mechanism's regression), which it may change the value of
the property `should_suspend`.
A tuple which specifies the values of the ( hyper ) parameters used to execute user ' s script with . This method is to be used as a callback in a client - server communication between user ' s script and a orion ' s worker using a ` BaseAlgorithm ` . Data returned from this method must be serializable and will be used as a response to the running environment . Default response is None . : Calling algorithm to ` judge ` a ` point ` based on its online ` measurements ` will effectively change a state in the algorithm ( like a reinforcement learning agent ' s hidden state or an automatic early stopping mechanism ' s regression ) which it may change the value of the property ` should_suspend ` .
measurements