create a new Partition object
create a new Partition object
the partitioning method used, will be either “random”, “stratified”, “date- time”, “user”, “group”, or “date”. Note that “date” partitioning is an old partitioning method no longer supported for new projects, as of API version v2.0.
– either CV for cross-validation or TVH for train-validation-holdout split
if a date partition column was used, the name of the column Note that datetimeCol applies to an old partitioning method no longer supported for new projects, as of API version v2.0.
if train-validation-holdoutsplitwasused,thepercentageofthedataset used for the validation set
if cross validation was used, the number of folds to use
if a user partition column was used with cross validation, the value
if a user partition column was used with train-validation-holdout split, the value assigned to the holdout set
– if a user partition column was used, the name of the column
– if a user partition column was used with train-validation-holdoutsplit, the value assigned to the training set
– if group partitioning was used, the name of the column.
– the percentage of the dataset reserved for the holdout set
– if a user partition column was used with train-validation-holdout split, the value assigned to the validation set
– (New in version v2.9) A boolean value indicating whether a time series project was created as opposed to a regular project using datetime partitioning.
if a user partition column was used with cross validation, the value
the partitioning method used, will be either “random”, “stratified”, “date- time”, “user”, “group”, or “date”.
the partitioning method used, will be either “random”, “stratified”, “date- time”, “user”, “group”, or “date”. Note that “date” partitioning is an old partitioning method no longer supported for new projects, as of API version v2.0.
if a date partition column was used, the name of the column Note that datetimeCol applies to an old partitioning method no longer supported for new projects, as of API version v2.0.
if a user partition column was used with train-validation-holdout split, the value assigned to the holdout set
– the percentage of the dataset reserved for the holdout set
– if group partitioning was used, the name of the column.
if cross validation was used, the number of folds to use
– if a user partition column was used with train-validation-holdoutsplit, the value assigned to the training set
– (New in version v2.9) A boolean value indicating whether a time series project was created as opposed to a regular project using datetime partitioning.
– if a user partition column was used, the name of the column
– if a user partition column was used with train-validation-holdout split, the value assigned to the validation set
if train-validation-holdoutsplitwasused,thepercentageofthedataset used for the validation set
– either CV for cross-validation or TVH for train-validation-holdout split
(Since version ) see corresponding Javadoc for more information.
Partitioning for a given project that will be returned as part of a response from API