ramp_database.model.Submission¶
-
class
ramp_database.model.Submission(name, event_team, session=None, user_name=None)¶ Submission table.
- Parameters
- namestr
The submission name.
- event_team
ramp_database.model.EventTeam The event/team instance.
- session
sqlalchemy.orm.Session The session to directly perform the operation on the database.
- Attributes
- idint
The ID of the table row.
- event_team_idint
The event/team ID.
- event_team
ramp_database.model.EventTeam The event/team instance.
- namestr
The name of the submission.
- hash_string
A hash to identify the submission.
- fileslist of
ramp_database.model.SubmissionFile The list of the files associated with the submission.
- submission_timestampdatetime
The date and time when the submission was added to the database.
- sent_to_training_timestampdatetime
The date and time when the submission was sent for training.
- training_timestampdatetime
The date and time when the training finished.
- contributivityfloat
The contributivity of the submission.
- historical_contributivityfloat
The historical contributivity.
- type{‘live’ or ‘test’}
The type of submission.
- statestr
The state of the submission. For possible states, see the
submission_statesenum in this module (top of this file).- queue_positionint
The position in the queue when the submission was sent to be trained.
- error_msgstr
The error message of the submission.
- is_validbool
Is it a valid submission.
- is_to_ensemblebool
Whether to use the submission for the contributivity score.
- is_in_competitionbool
Whether the submission is used to participate to the comptetition.
- notesstr
Store any note regarding the submission.
- train_time_cv_meanfloat
The mean of the computation time for a fold on the train data.
- valid_time_cv_meanfloat
The mean of the computation time for a fold on the valid data.
- test_time_cv_meanfloat
The mean of the computation time for a fold on the test data.
- train_time_cv_stdfloat
The standard deviation of the computation time for a fold on the train data.
- valid_time_cv_stdfloat
The standard deviation of the computation time for a fold on the valid data.
- test_time_cv_stdfloat
The standard deviation of the computation time for a fold on the test data.
- max_ramfloat
The maximum amount of RAM consumed during training.
- historical_contributivityslist of
ramp_database.model.HistoricalContributivity A back-reference of the historical contributivities for the submission.
- scoreslist of
ramp_database.model.SubmissionScore A back-reference of scores for the submission.
- fileslist of
ramp_database.model.SubmissionFile A back-reference of files attached to the submission.
- on_cv_foldslist of
ramp_database.model.SubmissionOnCVFold A back-reference of the CV fold for this submission.
-
__init__(name, event_team, session=None, user_name=None)¶ A simple constructor that allows initialization from kwargs.
Sets attributes on the constructed instance using the names and values in
kwargs.Only keys that are present as attributes of the instance’s class are allowed. These could be, for example, any mapped columns or relationships.