function for extracting the timestamp from an event
function for identifying if the condition is met
optional size of time window over which the response variable is to be aggregated
optional size of time window over which the predictor variables are to be aggregated
if a particular key met the condition multiple times, which of the times would you like to use in the training set
optional function to compute the cutoff value based on key and aggregated sequence of events for that key
do not generate feature vectors for keys in training set where the target condition is not met. If set to false, and condition is not met, features for those
optional function to compute the cutoff value based on key and aggregated sequence of events for that key
do not generate feature vectors for keys in training set where the target condition is not met.
do not generate feature vectors for keys in training set where the target condition is not met. If set to false, and condition is not met, features for those
optional size of time window over which the predictor variables are to be aggregated
optional size of time window over which the response variable is to be aggregated
function for identifying if the condition is met
function for extracting the timestamp from an event
if a particular key met the condition multiple times, which of the times would you like to use in the training set
Conditional data reader params
function for extracting the timestamp from an event
function for identifying if the condition is met
optional size of time window over which the response variable is to be aggregated
optional size of time window over which the predictor variables are to be aggregated
if a particular key met the condition multiple times, which of the times would you like to use in the training set
optional function to compute the cutoff value based on key and aggregated sequence of events for that key
do not generate feature vectors for keys in training set where the target condition is not met. If set to false, and condition is not met, features for those