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Update run.py #1194

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Feb 24, 2023
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Update run.py #1194

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Update run.py
v-parmar Feb 7, 2023
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Update run.py
v-parmar Feb 22, 2023
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Update run.py
v-parmar Feb 23, 2023
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29 changes: 24 additions & 5 deletions openml/runs/run.py
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Expand Up @@ -31,36 +31,55 @@ class OpenMLRun(OpenMLBase):
Parameters
----------
task_id: int
The ID of the OpenML task associated with the run.
flow_id: int
The ID of the OpenML flow associated with the run.
dataset_id: int
The ID of the OpenML dataset used for the run.
setup_string: str
The setup string of the run.
output_files: Dict[str, str]
A dictionary that specifies where each related file can be found.
Specifies where each related file can be found.
setup_id: int
An integer representing the ID of the setup used for the run.
tags: List[str]
Representing the tags associated with the run.
uploader: int
User ID of the uploader.
User ID of the uploader.
uploader_name: str
The name of the person who uploaded the run.
evaluations: Dict
Representing the evaluations of the run.
fold_evaluations: Dict
The evaluations of the run for each fold.
sample_evaluations: Dict
The evaluations of the run for each sample.
data_content: List[List]
The predictions generated from executing this run.
trace: OpenMLRunTrace
The trace containing information on internal model evaluations of this run.
model: object
The untrained model that was evaluated in the run.
task_type: str
The type of the OpenML task associated with the run.
task_evaluation_measure: str
The evaluation measure used for the task.
flow_name: str
The name of the OpenML flow associated with the run.
parameter_settings: List[OrderedDict]
Representing the parameter settings used for the run.
predictions_url: str
The URL of the predictions file.
task: OpenMLTask
An instance of the OpenMLTask class, representing the OpenML task associated with the run.
flow: OpenMLFlow
An instance of the OpenMLFlow class, representing the OpenML flow associated with the run.
run_id: int
The ID of the run.
description_text: str, optional
Description text to add to the predictions file.
If left None, is set to the time the arff file is generated.
Description text to add to the predictions file. If left None, is set to the time the arff file is generated.
run_details: str, optional (default=None)
Description of the run stored in the run meta-data.
Description of the run stored in the run meta-data.
"""

def __init__(
Expand Down