Sampler¶

Sampler takes a task as input and the corresponding data generator. Sampler uses the data generator to make synthetic data that it concatenates with the training data and returns.

Data Format¶

Input¶

Here we will have an example table, train_data, generator.

timestamp: an INTEGER or FLOAT column with the time of the observation in Unix Time Format
value: an INTEGER or FLOAT column with the observed value at the indicated timestamp

This is an example of such table:

timestamp	value
1222819200	-0.366358
1222840800	-0.394107
1222862400	0.403624
1222884000	-0.362759
1222905600	-0.370746

Synthetic Data Generation¶

Here we will show that the sampler uses the task defined parameters to generate the synthetic data.

Output¶

Here we will show that the output is simply synthetic data concatenated with the training data.:

start: timestamp where the anomalous interval starts
end: timestamp where the anomalous interval ends

Optionally, a third column called severity can be included with a value that represents the severity of the detected anomaly.

An example of such a table is:

start	end	severity
1222970400	1222992000	0.572643
1223013600	1223035200	0.572643

Task

Evaluation