TimeEval
I can't evaluate on my own datsets. #53
Replies: 2 comments 3 replies
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Hi @JeonghwaYoo-R, You have written the following |
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@wenig Is it right? I tried again by modifying the code, but the same problem occurred on Windows. The following error occurred even when the code was executed in a Linux environment.
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Hi @JeonghwaYoo-R, Your error seems very strange, and we can't reproduce it. Please provide a complete MRE. We need:
When you have built your MRE, please test the following: A1:
Please try to run your example without using the from timeeval import Algorithm
from timeeval.adapters import FunctionAdapter
from timeeval.data_types import AlgorithmParameter
import numpy as np
def algorithm_function(data: AlgorithmParameter, args: dict) -> np.ndarray:
if isinstance(data, np.ndarray):
return np.zeros_like(data)
else: # data = pathlib.Path
return np.genfromtxt(data)[0]
algorithms = [
Algorithm(
name="MyPythonFunctionAlgorithm",
main=FunctionAdapter(algorithm_function),
data_as_file=False
)
]
This is expected because
So, you can try |
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@CodeLionX
My python code is here
My configuration file (json) is here. Dataset (
1.2.6
docer version is 4.4.4
-> Working (The value of status is Status.OK in results.csv)
-> Working (The value of status is Status.OK in results.csv)
-> Error
-> Error |
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Ok, this cleared some things up:
I suspect that TimeEval can't find your Docker-installation, especially because of these lines in your error message:
Let's first focus on your Linux machine because I'm more familiar with that. Please provide the following details:
#!/usr/bin/env python3
import json
import docker
def main():
client = docker.from_env()
client.ping()
version_info = client.version()
print(json.dumps(version_info, indent=2))
if __name__ == "__main__":
main() |
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My code is here:
My json file about dataset is here:
Error message is here:
I thought error is occured at this part.
https://github.com/HPI-Information-Systems/TimeEval/blob/0a45790cbeeb55d6140a250c672d4a93d152dfa4/timeeval/core/times.py#L31
and I wonder why the output is
Empty DataFrame.This is Dataset information.
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